This document provides contact information for VENSOFT Technologies and describes 25 MATLAB projects for the 2013-2014 academic year related to signal processing topics such as phase noise estimation in MIMO systems, distributed averaging algorithms, channel estimation, computation of the moment generating function for lognormal distributions, compressed sensing of EEG data, and compressed sensing for wireless monitoring of fetal ECG signals. The contact for projects is provided as VENSOFT Technologies, their website, and a phone number.
MIMO System Performance Evaluation for High Data Rate Wireless Networks usin...IJMER
Space–time block coding is used for data communication in fading channels by multiple
transmit antennas. Message data is encoded by applying a space–time block code and after the encoding
the data is break into ‘n’ streams of simultaneously transmitted strings through n transmit antennas. The
received signal at the receiver end is the superposition of the n transmitted signals distorted due to noise
.For data recovery maximum likelihood decoding scheme is applied through decoupling of the signals
transmitted from different antennas instead of joint detection. The maximum likelihood decoding scheme
applies the orthogonal structure of the space–time block code (OSTBC) and gives a maximum-likelihood
decoding algorithm based on linear processing at the receiver. In this paper orthogonal space–time
block codes based model is developed using Matlab/Simulink to get the maximum diversity order for a
given number of transmit and receive antennas subject with a simple decoding algorithm.
The simulink block of orthogonal space coding block with space–time block codes is applied with and
without gray coding. The OSTBC codes gives the maximum possible transmission rate for any number of
transmit antennas using any arbitrary real constellation such of M-PSK array. For different complex
constellation of M- PSK space–time block codes are applied that achieve 1/2 and 3/4 of the maximum
possible transmission rate for MIMO transmit antennas using different complex constellations.
Automated Piecewise-Linear Fitting of S-Parameters step-response (PWLFIT) for...Piero Belforte
An innovative full time-domain macromodeling
technique for general, linear multiport systems is described. The
methodology is defined in a digital wave framework and timedomain
simulations are performed via an efficient method called
Segment Fast Convolution (SFC). It is based on a piecewiseconstant
(PWC) model of the impulse response of scattering
parameters, computed starting from a piecewise-linear fitting
of their step response (PWLFIT). Such step response is directly
available from time-domain reflectometer measurements
(TDR/TDT) or equivalent simulations. The model-building phase
is performed in a fast automated framework and an analytic
formulation of computational efficiency of the SFC with respect to
the standard time-domain convolution is given. Two application
examples are used to verify the PWLFIT performance and to
perform a comparison with macromodeling methods defined in
the frequency-domain, such as Vector Fitting (VF).
Index Terms—Digital wave models, time-domain macromodeling,
S-parameters, step response.
Ieee transactions 2018 on wireless communications Title and Abstracttsysglobalsolutions
Final year BE, B.Tech, ME, M.Tech projects along with our professionals for developing Real Time Applications in Emerging Technologies.
We can support to your final year projects in all domains with latest technologies and simulation tool like NS2, NS3, Glomosim, Opnet, Matlab, IDL, Sumo, Gridsim, Bonita tool & Cloud deployments (Cloudsim, Google App Engine, Amazon Deployment, and Real time Cloud Deployment)also we are support for JOURNAL and CONFERENCE Preparation.
?
TSYS Research and Development.
20/9 Sardar Patel Road, Janaki Complex,
4th Floor, Adyar, Chennai - 20?
Tel : 91 44 42607879, 98411 03123.
Website : http://www.tsysglobalsolutions.com/
http://tsysphdsupport.com/
Performance Evaluation of DV-HOP and Amorphous Algorithms based on Localizati...TELKOMNIKA JOURNAL
In the field of high-risk observation, the nodes in Wireless Sensor Network (WSN) are distributed
randomly. The result from sensing becomes meaningless if it is not known from where the originating node
is. Therefore, a sensor node positioning scheme, known as the localization scheme, is required. The
localization scheme consists of distance estimation and position computing. Thus, this research used
connectivity as distance estimation within range free algorithm DV-Hop and Amorphous, and then trilateral
algorithm for computing the position. Besides that, distance estimation using the connectivity between
nodes is not needed for the additional hardware ranging as required by a range-based localization
scheme. In this research compared the localization algorithm based on range free localization, which are
DV-Hop algorithm and Amorphous algorithm. The simulation result shows that the amorphous alg orithm
have achieved 13.60% and 24.538% lower than dv-hop algorithm for each parameter error localization and
energy consumption. On node density variations, dv-hop algorithm gained a localization error that is
26.95% lower than amorphous algorithm, but for energy consumption parameter, amorphous gained
14.227% lower than dv-hop algorithm. In the communication range variation scenario, dv-hop algorithm
gained a localization error that is50.282% lower than amorphous. However, for energy consumption
parameter, amorphous algorithm gained 12.35%. lower than dv-hop algorithm.
A Summative Comparison of Blind Channel Estimation Techniques for Orthogonal ...IJECEIAES
The OFDM technique i.e. Orthogonal frequency division multiplexing has become prominent in wireless communication since its instruction in 1950’s due to its feature of combating the multipath fading and other losses. In an OFDM system, a large number of orthogonal, overlapping, narrow band subchannels or subcarriers, transmitted in parallel, divide the available transmission bandwidth. The separation of the subcarriers is theoretically optimal such that there is a very compact spectral utilization. This paper reviewed the possible approaches for blind channel estimation in the light of the improved performance in terms of speed of convergence and complexity. There were various researches which adopted the ways for channel estimation for Blind, Semi Blind and trained channel estimators and detectors. Various ways of channel estimation such as Subspace, iteration based, LMSE or MSE based (using statistical methods), SDR, Maximum likelihood approach, cyclostationarity, Redundancy and Cyclic prefix based. The paper reviewed all the above approaches in order to summarize the outcomes of approaches aimed at optimum performance for channel estimation in OFDM systems.
MODIFIED LLL ALGORITHM WITH SHIFTED START COLUMN FOR COMPLEXITY REDUCTIONijwmn
Multiple-input multiple-output (MIMO) systems are playing an important role in the recent wireless
communication. The complexity of the different systems models challenge different researches to get a good
complexity to performance balance. Lattices Reduction Techniques and Lenstra-Lenstra-Lovàsz (LLL)
algorithm bring more resources to investigate and can contribute to the complexity reduction purposes.
In this paper, we are looking to modify the LLL algorithm to reduce the computation operations by
exploiting the structure of the upper triangular matrix without “big” performance degradation. Basically,
the first columns of the upper triangular matrix contain many zeroes, so the algorithm will perform several
operations with very limited income. We are presenting a performance and complexity study and our
proposal show that we can gain in term of complexity while the performance results remains almost the
same.
MIMO System Performance Evaluation for High Data Rate Wireless Networks usin...IJMER
Space–time block coding is used for data communication in fading channels by multiple
transmit antennas. Message data is encoded by applying a space–time block code and after the encoding
the data is break into ‘n’ streams of simultaneously transmitted strings through n transmit antennas. The
received signal at the receiver end is the superposition of the n transmitted signals distorted due to noise
.For data recovery maximum likelihood decoding scheme is applied through decoupling of the signals
transmitted from different antennas instead of joint detection. The maximum likelihood decoding scheme
applies the orthogonal structure of the space–time block code (OSTBC) and gives a maximum-likelihood
decoding algorithm based on linear processing at the receiver. In this paper orthogonal space–time
block codes based model is developed using Matlab/Simulink to get the maximum diversity order for a
given number of transmit and receive antennas subject with a simple decoding algorithm.
The simulink block of orthogonal space coding block with space–time block codes is applied with and
without gray coding. The OSTBC codes gives the maximum possible transmission rate for any number of
transmit antennas using any arbitrary real constellation such of M-PSK array. For different complex
constellation of M- PSK space–time block codes are applied that achieve 1/2 and 3/4 of the maximum
possible transmission rate for MIMO transmit antennas using different complex constellations.
Automated Piecewise-Linear Fitting of S-Parameters step-response (PWLFIT) for...Piero Belforte
An innovative full time-domain macromodeling
technique for general, linear multiport systems is described. The
methodology is defined in a digital wave framework and timedomain
simulations are performed via an efficient method called
Segment Fast Convolution (SFC). It is based on a piecewiseconstant
(PWC) model of the impulse response of scattering
parameters, computed starting from a piecewise-linear fitting
of their step response (PWLFIT). Such step response is directly
available from time-domain reflectometer measurements
(TDR/TDT) or equivalent simulations. The model-building phase
is performed in a fast automated framework and an analytic
formulation of computational efficiency of the SFC with respect to
the standard time-domain convolution is given. Two application
examples are used to verify the PWLFIT performance and to
perform a comparison with macromodeling methods defined in
the frequency-domain, such as Vector Fitting (VF).
Index Terms—Digital wave models, time-domain macromodeling,
S-parameters, step response.
Ieee transactions 2018 on wireless communications Title and Abstracttsysglobalsolutions
Final year BE, B.Tech, ME, M.Tech projects along with our professionals for developing Real Time Applications in Emerging Technologies.
We can support to your final year projects in all domains with latest technologies and simulation tool like NS2, NS3, Glomosim, Opnet, Matlab, IDL, Sumo, Gridsim, Bonita tool & Cloud deployments (Cloudsim, Google App Engine, Amazon Deployment, and Real time Cloud Deployment)also we are support for JOURNAL and CONFERENCE Preparation.
?
TSYS Research and Development.
20/9 Sardar Patel Road, Janaki Complex,
4th Floor, Adyar, Chennai - 20?
Tel : 91 44 42607879, 98411 03123.
Website : http://www.tsysglobalsolutions.com/
http://tsysphdsupport.com/
Performance Evaluation of DV-HOP and Amorphous Algorithms based on Localizati...TELKOMNIKA JOURNAL
In the field of high-risk observation, the nodes in Wireless Sensor Network (WSN) are distributed
randomly. The result from sensing becomes meaningless if it is not known from where the originating node
is. Therefore, a sensor node positioning scheme, known as the localization scheme, is required. The
localization scheme consists of distance estimation and position computing. Thus, this research used
connectivity as distance estimation within range free algorithm DV-Hop and Amorphous, and then trilateral
algorithm for computing the position. Besides that, distance estimation using the connectivity between
nodes is not needed for the additional hardware ranging as required by a range-based localization
scheme. In this research compared the localization algorithm based on range free localization, which are
DV-Hop algorithm and Amorphous algorithm. The simulation result shows that the amorphous alg orithm
have achieved 13.60% and 24.538% lower than dv-hop algorithm for each parameter error localization and
energy consumption. On node density variations, dv-hop algorithm gained a localization error that is
26.95% lower than amorphous algorithm, but for energy consumption parameter, amorphous gained
14.227% lower than dv-hop algorithm. In the communication range variation scenario, dv-hop algorithm
gained a localization error that is50.282% lower than amorphous. However, for energy consumption
parameter, amorphous algorithm gained 12.35%. lower than dv-hop algorithm.
A Summative Comparison of Blind Channel Estimation Techniques for Orthogonal ...IJECEIAES
The OFDM technique i.e. Orthogonal frequency division multiplexing has become prominent in wireless communication since its instruction in 1950’s due to its feature of combating the multipath fading and other losses. In an OFDM system, a large number of orthogonal, overlapping, narrow band subchannels or subcarriers, transmitted in parallel, divide the available transmission bandwidth. The separation of the subcarriers is theoretically optimal such that there is a very compact spectral utilization. This paper reviewed the possible approaches for blind channel estimation in the light of the improved performance in terms of speed of convergence and complexity. There were various researches which adopted the ways for channel estimation for Blind, Semi Blind and trained channel estimators and detectors. Various ways of channel estimation such as Subspace, iteration based, LMSE or MSE based (using statistical methods), SDR, Maximum likelihood approach, cyclostationarity, Redundancy and Cyclic prefix based. The paper reviewed all the above approaches in order to summarize the outcomes of approaches aimed at optimum performance for channel estimation in OFDM systems.
MODIFIED LLL ALGORITHM WITH SHIFTED START COLUMN FOR COMPLEXITY REDUCTIONijwmn
Multiple-input multiple-output (MIMO) systems are playing an important role in the recent wireless
communication. The complexity of the different systems models challenge different researches to get a good
complexity to performance balance. Lattices Reduction Techniques and Lenstra-Lenstra-Lovàsz (LLL)
algorithm bring more resources to investigate and can contribute to the complexity reduction purposes.
In this paper, we are looking to modify the LLL algorithm to reduce the computation operations by
exploiting the structure of the upper triangular matrix without “big” performance degradation. Basically,
the first columns of the upper triangular matrix contain many zeroes, so the algorithm will perform several
operations with very limited income. We are presenting a performance and complexity study and our
proposal show that we can gain in term of complexity while the performance results remains almost the
same.
The typical three path propagation and anti jamming capability associated with DSSS were carried out
through the combination of Lab VIEW and MATLAB 7.8. At the transmitter, the NRZ data stream is first mapped
into BPSK symbols and then spread-out using different PN code like Hadamard code, Gold or Kasami sequences.
And we see that single user is not total utilization band. Direct Sequence Spread Spectrum (DSSS) techniques are
used same bandwidth Number of user to increase, and we see that better performance. That we can say Direct
Sequence Spread Spectrum techniques is reused to bandwidth. And we can say that in this techniques power loss is
low, anti jamming capability is less and system is more reliable. Furthermore, BPSK-Spreading transceiver should be
analyzed for their performance, multipath scenario and interference whether under AWGN channel which show that
these has been overcome effectively and attain more robust performance, when using direct sequence spread
spectrum.
A SEMI BLIND CHANNEL ESTIMATION METHOD BASED ON HYBRID NEURAL NETWORKS FOR UP...ijwmn
The paper describes how to improve channel estimation in Single Carrier Frequency Division Multiple
Access (SC-FDMA) system, using a Hybrid Artificial Neural Networks (HANN). The 3rd Generation
Partnership Project (3GPP) standards for uplink Long Term Evolution Advanced (LTE-A) uses pilot based
channel estimation technique. This kind of channel estimation method suffers from a considerable loss
ofbitrate due to pilot insertion; all data frame sent contains reference signal. The HANN converts data
aided channel estimator to semi blind channel estimator. To increase convergence speed, HANN uses some
channel propagation Fuzzy Rules to initialize Neural Network parameters before learning instead of a
random initialization, so its learning phase ismore rapidly compared to classic ANN.HANN allows more
bandwidth efficient and less complexity. Simulation results show that HANN has better computational
efficiency than the Minimum Mean Square Error (MMSE) estimator and has faster convergence than
classic Neural Networks estimators.
Performance Analysis of Rake Receivers in IR–UWB System IOSR Journals
Suppression of interference in time domain equalizers is attempted for high data rate impulse
radio (IR) ultra wideband communication system. The narrow band systems may cause interference with UWB
devices as it is having very low transmission power and the large bandwidth. SRAKE receiver improves system
performance by equalizing signals from different paths. This enables the use of SRAKE receiver techniques in IR
UWB systems A semi analytical approach is used to investigate the BER performance of SRAKE receiver on
IEEE 802.15.3a UWB channel models. Study on non-line of sight indoor channel models (both CM3 and CM4)
illustrates that bit error rate performance of SRake receiver with NBI performs better than that of Rake receiver
without NBI
VECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATIONPiero Belforte
The basic concepts of two fitting methods suitable for signal and power integrity simulation up to multi-gigabit/sec rates are presented. The traditional method is based on Vector Fitting (VF), a well known technique to approximate complex functions of frequency by a rational polynomial expression in terms of poles and residues. The second is a full time-domain approach mainly based on behavioral models supported by the Digital Wave Simulator.
PWLFIT/DWS advantages over VECTFIT/Spice can be summarized with the 3S acronym: SIMPLICITY, STABILITY and SPEED.
SIMPLICITY because the pwl fitting of a time-domain behavior is a very fast, explicit and intuitive process that doens't need the solution of implicit equations as required by Vector fitting. Time-domain S-parameter of actual devices in matched conditions shows simpler behaviors than the corresponding impedance in the frequency domain.
STABILITY because the use of Digital Wave processing is intrinsically very stable. Extracted pwl behaviors processed by fast convolution within DWS are unconditionally stable if the source behavior is stable. This means that NO numerical conditioning is required. As known Vector Fitting often require numerical conditioning to get stable results.
SPEED: time-domain pwl fitting is a very fast process. DWS simulations are also very fast even at very small time steps required by multigigabit system analysis. DWS/SPICE typical speedups are 100X for traditional VF derived RLC-TL circuits and up to 10000X when using pwl Behavioral Models in time domain.
Digital Wave Simulation of Lossy Lines for Multi-Gigabit ApplicationsPiero Belforte
Frequency domain Vector Fitting (VF) is a well known technique to generate circuital models of a spatially discretized lossy transmission lines from theoretical formulation of losses. The sub-picosecond time steps required by multi-gigahertz bandwidths and short transmission lines included in the models, determine long Spice simulation times. A 100X speedup can be gained using the Digital Wave Simulator (DWS) instead of Spice. DWS processes the waves of a Digital Network built up connecting together scattering blocks (circuit elements, nodes and S-parameter multi-ports) coming from a Spice-like description. Being a DSP wave processor instead of a classical nodal equations solver, DWS is computationally very fast and numerically stable. Comparisons with commercial simulators like Microcap11 and CST Cable Studio show a good matching of results. A further 10-100X simulation speedup is obtained if Piecewise-Linear Fitting (PWLF) is used to describe the time-domain behaviors of Scattering Parameters. Single or multiple cell Behavioral Time Models (BTM) can be extracted by PWLF from TDR/TDT measurements and processed by DWS fast convolution algorithms. A setup de-embedding can be performed by pwl breakpoints optimization to fit actual measurements. A RG58 coaxial cable is analyzed and its VF-derived eye-diagrams are compared to PWLF measurement-derived results. At multi-gigabit rates significant differences, due to cable physical implementation effects, are observed. The modeling/simulation alternatives (VF/Spice, VF/DWS and PWLF/DWS) are compared together and the advantages of PWLF/DWS in term of simplicity, stability and speed are highlighted.
In Digital Communications, a Turbo Equalizer is a type of receiver used to receive a message corrupted by a communication channel with intersymbol interference (ISI).
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Performance Analysis of Ultra Wideband Receivers for High Data Rate Wireless ...graphhoc
For high data rate ultra wideband communication system, performance comparison of Rake, MMSE and Rake-MMSE receivers is attempted in this paper. Further a detail study on Rake-MMSE time domain equalizers is carried out taking into account all the important parameters such as the effect of the number of Rake fingers and equalizer taps on the error rate performance. This receiver combats inter-symbol interference by taking advantages of both the Rake and equalizer structure. The bit error rate performances are investigated using MATLAB simulation on IEEE 802.15.3a defined UWB channel models. Simulation results show that the bit error rate probability of Rake-MMSE receiver is much better than Rake receiver and MMSE equalizer. Study on non-line of sight indoor channel models illustrates that bit error rate performance of Rake-MMSE (both LE and DFE) improves for CM3 model with smaller spread compared to CM4 channel model. It is indicated that for a MMSE equalizer operating at low to medium SNR values, the number of Rake fingers is the dominant factor to improve system performance, while at high SNR values the number of equalizer taps plays a more significant role in reducing the error rate.
Adaptive Channel Equalization for Nonlinear Channels using Signed Regressor F...IDES Editor
Wireless communication systems are affected by
inter-symbol interference (ISI), co-channel interference in
the presence of additive white Gaussian noise. ISI is primarily
due to the distortion caused by frequency and time selectivity
of the fading channel and it causes performance degradation.
Equalization techniques are used to mitigate the effect of ISI
and noise for better demodulation. This paper presents a novel
technique for channel equalization. Here a Signed Regressor
adaptive algorithm based on FLANN (Functional Link Artificial
Neural Network) has been developed for nonlinear channel
equalization along with the analysis of MSE and BER. The
results are compared with the conventional adaptive LMS
algorithm based FLANN model. The Signed Regressor FLANN
shows better performance as compared to LMS based FLANN.
The equalizer presented shows considerable performance
compared to the other adaptive structure for both the linear
and non-linear models in terms of convergence rate, MSE
and BER over a wide range.
Performance of Matching Algorithmsfor Signal Approximationiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
FPGA based Data Scrambler for Ultra-Wideband Communication Systemsidescitation
Ultra-Wideband (UWB) communication systems are
currently the focus of research and development in wireless
personal area networks (WPANs). These systems are capable
of transferring data from a rate of 110Mbps to 480Mbps in
realistic multipath environment. They consume very little
power and silicon area. In such systems, synchronization plays
very critical role to ensure correct and reliable system
operation. Improper synchronization can introduce timing
errors during transmission that can be eliminated using a
device called scrambler. In this paper, the scrambler for UWB
communication systems has been modeled and simulated using
Matlab and Xilinx’s System Generator for DSP (Digital Signal
Processing). Implementation of the scrambler has also been
done on Spartan 3E FPGA (Field Programmable Gate Array)
chip using Xilinx’s ISE Design Suite and results are compared.
PR-169: EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksJinwon Lee
TensorFlow-KR 논문읽기모임 PR12 169번째 논문 review입니다.
이번에 살펴본 논문은 Google에서 발표한 EfficientNet입니다. efficient neural network은 보통 mobile과 같은 제한된 computing power를 가진 edge device를 위한 작은 network 위주로 연구되어왔는데, 이 논문은 성능을 높이기 위해서 일반적으로 network를 점점 더 키워나가는 경우가 많은데, 이 때 어떻게 하면 더 효율적인 방법으로 network을 키울 수 있을지에 대해서 연구한 논문입니다. 자세한 내용은 영상을 참고해주세요
논문링크: https://arxiv.org/abs/1905.11946
영상링크: https://youtu.be/Vhz0quyvR7I
Presentazione sul Curriculum Vitae - CV - secondo i canoni Europass.
Serie di wikinar (wiki-seminari) a Latina presso Officine del Sapere - www.officinedelsapere.it - nei mesi di luglio e agosto 2013.
Con la collaborazione di Officine del Sapere e Centro Studi Sapiens - www.centrostudisapiensa.it .
The typical three path propagation and anti jamming capability associated with DSSS were carried out
through the combination of Lab VIEW and MATLAB 7.8. At the transmitter, the NRZ data stream is first mapped
into BPSK symbols and then spread-out using different PN code like Hadamard code, Gold or Kasami sequences.
And we see that single user is not total utilization band. Direct Sequence Spread Spectrum (DSSS) techniques are
used same bandwidth Number of user to increase, and we see that better performance. That we can say Direct
Sequence Spread Spectrum techniques is reused to bandwidth. And we can say that in this techniques power loss is
low, anti jamming capability is less and system is more reliable. Furthermore, BPSK-Spreading transceiver should be
analyzed for their performance, multipath scenario and interference whether under AWGN channel which show that
these has been overcome effectively and attain more robust performance, when using direct sequence spread
spectrum.
A SEMI BLIND CHANNEL ESTIMATION METHOD BASED ON HYBRID NEURAL NETWORKS FOR UP...ijwmn
The paper describes how to improve channel estimation in Single Carrier Frequency Division Multiple
Access (SC-FDMA) system, using a Hybrid Artificial Neural Networks (HANN). The 3rd Generation
Partnership Project (3GPP) standards for uplink Long Term Evolution Advanced (LTE-A) uses pilot based
channel estimation technique. This kind of channel estimation method suffers from a considerable loss
ofbitrate due to pilot insertion; all data frame sent contains reference signal. The HANN converts data
aided channel estimator to semi blind channel estimator. To increase convergence speed, HANN uses some
channel propagation Fuzzy Rules to initialize Neural Network parameters before learning instead of a
random initialization, so its learning phase ismore rapidly compared to classic ANN.HANN allows more
bandwidth efficient and less complexity. Simulation results show that HANN has better computational
efficiency than the Minimum Mean Square Error (MMSE) estimator and has faster convergence than
classic Neural Networks estimators.
Performance Analysis of Rake Receivers in IR–UWB System IOSR Journals
Suppression of interference in time domain equalizers is attempted for high data rate impulse
radio (IR) ultra wideband communication system. The narrow band systems may cause interference with UWB
devices as it is having very low transmission power and the large bandwidth. SRAKE receiver improves system
performance by equalizing signals from different paths. This enables the use of SRAKE receiver techniques in IR
UWB systems A semi analytical approach is used to investigate the BER performance of SRAKE receiver on
IEEE 802.15.3a UWB channel models. Study on non-line of sight indoor channel models (both CM3 and CM4)
illustrates that bit error rate performance of SRake receiver with NBI performs better than that of Rake receiver
without NBI
VECTOR VS PIECEWISE-LINEAR FITTING FOR SIGNAL AND POWER INTEGRITY SIMULATIONPiero Belforte
The basic concepts of two fitting methods suitable for signal and power integrity simulation up to multi-gigabit/sec rates are presented. The traditional method is based on Vector Fitting (VF), a well known technique to approximate complex functions of frequency by a rational polynomial expression in terms of poles and residues. The second is a full time-domain approach mainly based on behavioral models supported by the Digital Wave Simulator.
PWLFIT/DWS advantages over VECTFIT/Spice can be summarized with the 3S acronym: SIMPLICITY, STABILITY and SPEED.
SIMPLICITY because the pwl fitting of a time-domain behavior is a very fast, explicit and intuitive process that doens't need the solution of implicit equations as required by Vector fitting. Time-domain S-parameter of actual devices in matched conditions shows simpler behaviors than the corresponding impedance in the frequency domain.
STABILITY because the use of Digital Wave processing is intrinsically very stable. Extracted pwl behaviors processed by fast convolution within DWS are unconditionally stable if the source behavior is stable. This means that NO numerical conditioning is required. As known Vector Fitting often require numerical conditioning to get stable results.
SPEED: time-domain pwl fitting is a very fast process. DWS simulations are also very fast even at very small time steps required by multigigabit system analysis. DWS/SPICE typical speedups are 100X for traditional VF derived RLC-TL circuits and up to 10000X when using pwl Behavioral Models in time domain.
Digital Wave Simulation of Lossy Lines for Multi-Gigabit ApplicationsPiero Belforte
Frequency domain Vector Fitting (VF) is a well known technique to generate circuital models of a spatially discretized lossy transmission lines from theoretical formulation of losses. The sub-picosecond time steps required by multi-gigahertz bandwidths and short transmission lines included in the models, determine long Spice simulation times. A 100X speedup can be gained using the Digital Wave Simulator (DWS) instead of Spice. DWS processes the waves of a Digital Network built up connecting together scattering blocks (circuit elements, nodes and S-parameter multi-ports) coming from a Spice-like description. Being a DSP wave processor instead of a classical nodal equations solver, DWS is computationally very fast and numerically stable. Comparisons with commercial simulators like Microcap11 and CST Cable Studio show a good matching of results. A further 10-100X simulation speedup is obtained if Piecewise-Linear Fitting (PWLF) is used to describe the time-domain behaviors of Scattering Parameters. Single or multiple cell Behavioral Time Models (BTM) can be extracted by PWLF from TDR/TDT measurements and processed by DWS fast convolution algorithms. A setup de-embedding can be performed by pwl breakpoints optimization to fit actual measurements. A RG58 coaxial cable is analyzed and its VF-derived eye-diagrams are compared to PWLF measurement-derived results. At multi-gigabit rates significant differences, due to cable physical implementation effects, are observed. The modeling/simulation alternatives (VF/Spice, VF/DWS and PWLF/DWS) are compared together and the advantages of PWLF/DWS in term of simplicity, stability and speed are highlighted.
In Digital Communications, a Turbo Equalizer is a type of receiver used to receive a message corrupted by a communication channel with intersymbol interference (ISI).
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Performance Analysis of Ultra Wideband Receivers for High Data Rate Wireless ...graphhoc
For high data rate ultra wideband communication system, performance comparison of Rake, MMSE and Rake-MMSE receivers is attempted in this paper. Further a detail study on Rake-MMSE time domain equalizers is carried out taking into account all the important parameters such as the effect of the number of Rake fingers and equalizer taps on the error rate performance. This receiver combats inter-symbol interference by taking advantages of both the Rake and equalizer structure. The bit error rate performances are investigated using MATLAB simulation on IEEE 802.15.3a defined UWB channel models. Simulation results show that the bit error rate probability of Rake-MMSE receiver is much better than Rake receiver and MMSE equalizer. Study on non-line of sight indoor channel models illustrates that bit error rate performance of Rake-MMSE (both LE and DFE) improves for CM3 model with smaller spread compared to CM4 channel model. It is indicated that for a MMSE equalizer operating at low to medium SNR values, the number of Rake fingers is the dominant factor to improve system performance, while at high SNR values the number of equalizer taps plays a more significant role in reducing the error rate.
Adaptive Channel Equalization for Nonlinear Channels using Signed Regressor F...IDES Editor
Wireless communication systems are affected by
inter-symbol interference (ISI), co-channel interference in
the presence of additive white Gaussian noise. ISI is primarily
due to the distortion caused by frequency and time selectivity
of the fading channel and it causes performance degradation.
Equalization techniques are used to mitigate the effect of ISI
and noise for better demodulation. This paper presents a novel
technique for channel equalization. Here a Signed Regressor
adaptive algorithm based on FLANN (Functional Link Artificial
Neural Network) has been developed for nonlinear channel
equalization along with the analysis of MSE and BER. The
results are compared with the conventional adaptive LMS
algorithm based FLANN model. The Signed Regressor FLANN
shows better performance as compared to LMS based FLANN.
The equalizer presented shows considerable performance
compared to the other adaptive structure for both the linear
and non-linear models in terms of convergence rate, MSE
and BER over a wide range.
Performance of Matching Algorithmsfor Signal Approximationiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
FPGA based Data Scrambler for Ultra-Wideband Communication Systemsidescitation
Ultra-Wideband (UWB) communication systems are
currently the focus of research and development in wireless
personal area networks (WPANs). These systems are capable
of transferring data from a rate of 110Mbps to 480Mbps in
realistic multipath environment. They consume very little
power and silicon area. In such systems, synchronization plays
very critical role to ensure correct and reliable system
operation. Improper synchronization can introduce timing
errors during transmission that can be eliminated using a
device called scrambler. In this paper, the scrambler for UWB
communication systems has been modeled and simulated using
Matlab and Xilinx’s System Generator for DSP (Digital Signal
Processing). Implementation of the scrambler has also been
done on Spartan 3E FPGA (Field Programmable Gate Array)
chip using Xilinx’s ISE Design Suite and results are compared.
PR-169: EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksJinwon Lee
TensorFlow-KR 논문읽기모임 PR12 169번째 논문 review입니다.
이번에 살펴본 논문은 Google에서 발표한 EfficientNet입니다. efficient neural network은 보통 mobile과 같은 제한된 computing power를 가진 edge device를 위한 작은 network 위주로 연구되어왔는데, 이 논문은 성능을 높이기 위해서 일반적으로 network를 점점 더 키워나가는 경우가 많은데, 이 때 어떻게 하면 더 효율적인 방법으로 network을 키울 수 있을지에 대해서 연구한 논문입니다. 자세한 내용은 영상을 참고해주세요
논문링크: https://arxiv.org/abs/1905.11946
영상링크: https://youtu.be/Vhz0quyvR7I
Presentazione sul Curriculum Vitae - CV - secondo i canoni Europass.
Serie di wikinar (wiki-seminari) a Latina presso Officine del Sapere - www.officinedelsapere.it - nei mesi di luglio e agosto 2013.
Con la collaborazione di Officine del Sapere e Centro Studi Sapiens - www.centrostudisapiensa.it .
Vensoft Technologies authorized home appliances control with one wire protoco...Vensoft Technologies
ABSTRACT:
The main objective of this project is to develop an embedded system, which is
used to verify and authenticate the authorized
This project is implemented 8051 based At89s52 developed board interfaced with
I-Button, Keypad, buzzer and LCD.
The i-Button is a computer chip enclosed in a 16mm thick stainless steel can.
Because of this unique and durable container, up-to-date information can travel with a
person or object anywhere they go. The steel i-Button can be mounted virtually anywhere
because it is rugged enough to withstand harsh environments, indoors or outdoors. It is
small and portable enough to attach to a key fob, ring, watch, or other personal items, and
be used daily for applications such as access control to buildings and computers, asset
management and various data logging tasks.
Whenever the authorized person enters into the home, he has to keep his Ibutton
to the reader which is attached to our microcontroller based embedded board. And
enters the password through the keypad interfaced. At that moment the reader will checks
weather the information of the person is correct or not and then it will decide whether to
give access to that particular person or not. If the information of the person is correct then
he will be permitted inside otherwise he will not permit inside and switched on the
buzzer. If the person given information is correct then allow to switch on the appliance
through keypad. And the information of the access system will be displayed on the LCD
which we embedded to our board.
.net projects in mangalore,8051 projects,academic projects in mangalore,arm based projects,avr microcontroller projects,b.tech projects in mangalore,diploma based final year projects,dsp/dip projects in mangalore,electronics final year projects,embedded projects in mangalore,final year projects mangalore,industrial based projects,live projects in mangalore,m.c.a projects in mangalore,m.s projects in mangalore,m.tech projects in mangalore,mini projects in mangalore,robotics based projects,simulation projects in mangalore,vlsi projects in mangalore
http://www.ieeedeveloperslabs.in/
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
COMPARISON OF BIT ERROR RATE PERFORMANCE OF VARIOUS DIGITAL MODULATION SCHEME...ijasa
Digital modulation increases information capacity, data security, and system availability while maintaining high communication quality. As a result, digital modulation techniques are in higher demand than analog modulation techniques due to their ability to transmit larger amounts of data. Amplitude Shift Keying (ASK), Frequency Shift Keying (FSK), Phase Shift Keying (PSK), Differential Phase Shift Keying (DPSK), and Quadrature Amplitude Modulation (QAM) are critical components of current communications systems development, particularly for broadband wireless communications. In this paper, the comparison of bit error rate performance of different modulation schemes (BPSK, QPSK, and16-QAM) and various equalization techniques such as constant modulus algorithm (CMA) and maximum likelihood sequence estimate (MLSE) for the AWGN and Rayleigh fading channels is analyzed using Simulink. BPSK outperforms QPSK and 16-QAM when compared to the other two digital modulation schemes. Among the three digital modulation schemes, BPSK is showing better performance as compared to QPSK and 16- QAM
Computer-Based Analysis of The Performance of Different Modulation Techniques...theijes
The wideband code division multiple access (WCDMA) mobilewireless networks is among the lot of experiences digital communication has had for its tremendous growth. WCDMAnetworks are meant to provide a diverse amount/range of multimedia services tomobile users with assured quality of service (QoS). To achieve this, our report is dwelling mainly on the analysis of the performanceof Phase Shift Keying modulation(M-PSK)and MAry Pulse Amplitude Modulation (PAM)in WCDMA with different modulation channels,by comparing channel element like Bit Error Ratein RAYLEIGH fading and AWGN Channels using Matlab/Simulink. This research analysis will assist/enable us determine which modulation technique is performance effective in WCDMAsystem via any of these channelsat higher run time and M-Ary number.
Investigation and Analysis of SNR Estimation in OFDM systemIOSR Journals
Estimation of signal to noise ratio (SNR) of received signal and to transmit the signal effectively for
the modern communication system. The performance of existing non-data-aided (NDA) SNR estimation methods
are substantially degraded for high level modulation scheme such as M-ary amplitude and phase shift keying
(APSK) or quadrature amplitude modulation (QAM).In this paper SNR estimation proposed method which uses
zero point auto-correlation of received signal per block and auto/cross- correlation of decision feedback signal
in orthogonal frequency division multiplexing (OFDM) system. Proposed method can be studied into two types;
Type 1 can estimate SNR by zero point auto-correlation of decision feedback signal based on the second
moment property. Type 2 uses both zero point auto-correlation and cross-correlation based on the fourth
moment property. In block-by-block reception of OFDM system, these two SNR estimation methods can be
possible for the practical implementation due to correlation based the estimation method and they show more
stable estimation performance than the earlier SNR estimation methods.
PERFORMANCE ANALYSIS OF BARKER CODE BASED ON THEIR CORRELATION PROPERTY IN MU...ijistjournal
Spread-spectrum communication, with its inherent interference attenuation capability, has over the years become an increasingly popular technique for use in many different systems. They have very beneficial and tempting features, like Antijam, Security, and Multiple accesses. This thesis basically deals with the pseudo codes used in spread spectrum communication system. The cross-correlation and auto-correlation properties of the long Barker Code are analyzed. It has been seen that the length of the code, autocorrelation and cross-correlation properties can help us to determine the best suitable code for any particular communication environment. We have tried to find out the code with suitable auto-correlation properties along with low cross-correlation values. Barker code has good auto-correlation properties and we have found the pairs with the low cross- correlation so that they can be used in multi-user environment.
PERFORMANCE ANALYSIS OF BARKER CODE BASED ON THEIR CORRELATION PROPERTY IN MU...ijistjournal
Spread-spectrum communication, with its inherent interference attenuation capability, has over the years become an increasingly popular technique for use in many different systems. They have very beneficial and tempting features, like Antijam, Security, and Multiple accesses. This thesis basically deals with the pseudo codes used in spread spectrum communication system. The cross-correlation and auto-correlation properties of the long Barker Code are analyzed. It has been seen that the length of the code, autocorrelation and cross-correlation properties can help us to determine the best suitable code for any particular communication environment. We have tried to find out the code with suitable auto-correlation properties along with low cross-correlation values. Barker code has good auto-correlation properties and we have found the pairs with the low cross- correlation so that they can be used in multi-user environment.
BER Analysis ofImpulse Noise inOFDM System Using LMS,NLMS&RLSiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Error Rate Analysis of MIMO System Using V Blast Detection Technique in Fadin...IJERA Editor
Wireless communication system with multi- antenna arrays has been a field of intensive analysis on the last years. The appliance of multiple sending antennas and Receiving Antennas either side will considerably enhance the data rate and rate. The review of the performance limitations of MIMO system becomes vital since it will provide lot ideas in understanding and planning the important life MIMO systems. Vertical Bell Laboratories layered space Time (V-BLAST). The thought behind Multiple Input and Multiple Output system is that the signals on the transmitter antennas at one finish and also the receiver antennas at the opposite finish are correlative in such how that the performance (Bit Error Rate or BER) or the info rate (bits/sec) of the wireless communication system for every MIMO subscriber are improved. During this paper we tend to are proposing a technique that evaluates the performance of V-BLAST MIMO system in several thought of Rayleigh attenuation surroundings to urge higher performance of the system. In V- BLAST MIMO system a number of linear detection techniques will be used for interference cancellation. At this point we are using MMSE-IC for the same. Our expected system provide higher error rate performance with the used of matched filter at receiver aspect .The projected system compared within the presence of AWGN. Now matched filter applied on V- BLAST MIMO with MMSE-IC system in fading diversity surroundings.
This report discusses the planning Associate in
nursing the implementation of an OFDM system
in several information module schemes like MQPSK,
M-QAM. First, a short introduction is
provided by explaining the background and the
specification of the project. Then the report deals
with the system model, every block of the OFDM
system is represented (IFFT, FFT, Cyclic prefix,
modulation / reception, Channel estimation, bit
error rate). System design is analyzed. The
transmission techniques, further because the
system parameters for transmission and reception
are explained well. Finally, the results are
provided.
Performance analysis of image transmission with various channel conditions/mo...TELKOMNIKA JOURNAL
This paper investigates the impact of different modulation techniques for
digital communication systems that employ quadrature phase shift keying
(QPSK) and quadrature amplitude modulation (16-QAM and 64-QAM) to
transmit images over AWGN and Rayleigh fading channels for the cellular
mobile networks. In the further steps, wiener and median filters has been
adopted to the simulation are used at the receiver side to remove the impulsive
noise present in the received image. This work is performed to evaluate
the transmission of two dimensional (2D) gray-scale and color-scale (RGB)
images with different values from signal to noise ratios (SNR), such as;
(5, 10 and 15) dB over different channels. The correct conclusions are made
by comparing many of the observed Matlab simulation results. This was
carried out through the results that measure the quality of received image,
which is analyzes in terms of SNRimage peak signal to noise ratio (PSNR) and
mean square error (MSE).
Enhancement of New Channel Equalizer Using Adaptive Neuro Fuzzy Inference SystemIOSR Journals
Abstract: The rapidly increasing need for information communication requires higher speed data transmission over the existing channels. The data rate over these channels is limited mainly by Inter Symbol Interference (ISI). Channel equalizers are used to reduce the effect of ISI. In this paper, a new equalizer based on Adaptive Neuro-Fuzzy Inference System is presented. The performance of the proposed equalizer is evaluated for both linear as well as non-linear channels in terms of bit-error rate for different noise powers. Simulation results show that the proposed equalizer has better Bit Error Rate (BER) performance compared to multi-layer perceptron and least mean square equalizers. However, its BER performance is slightly poorer than that of radial basis function network and optimal Bayesian equalizer but is better in terms of structural complexity. Keywords: Channel equalizer, Hybrid learning algorithm, Intersymbol interference, Membership function, optimal Bayesian equalizer.
Enhancement of New Channel Equalizer Using Adaptive Neuro Fuzzy Inference SystemIOSR Journals
The rapidly increasing need for information communication requires higher speed data transmission over the existing channels. The data rate over these channels is limited mainly by Inter Symbol Interference (ISI). Channel equalizers are used to reduce the effect of ISI. In this paper, a new equalizer based on Adaptive Neuro-Fuzzy Inference System is presented. The performance of the proposed equalizer is evaluated for both linear as well as non-linear channels in terms of bit-error rate for different noise powers. Simulation results show that the proposed equalizer has better Bit Error Rate (BER) performance compared to multi-layer perceptron and least mean square equalizers. However, its BER performance is slightly poorer than that of radial basis function network and optimal Bayesian equalizer but is better in terms of structural complexity.
vensoft technologies paperless e cash management system by using an i-button...Vensoft Technologies
ABSTRACT:
The main objective of this project is to develop an embedded system, which is
used to verify and authenticate the authorized
This project is implemented 8051/PIC based developed board interfaced with IButton,
Keypad, buzzer and LCD, motor.
The i-Button is a computer chip enclosed in a 16mm thick stainless steel can.
Because of this unique and durable container, up-to-date information can travel with a
person or object anywhere they go. The steel i-Button can be mounted virtually anywhere
because it is rugged enough to withstand harsh environments, indoors or outdoors. It is
small and portable enough to attach to a key fob, ring, watch, or other personal items, and
be used daily for applications such as access control to buildings and computers, asset
management and various data logging tasks.
Whenever the customer open an bank account with required identification proof
after that bank give one i-button to the customer for further accessing bank process with
that reference of customer account identity number through i-button.
Whenever the customer enters into the bank/ATM, he has to keep his I-button
to the reader which is attached to our microcontroller based embedded System. And
enters the password through the keypad interfaced. At that moment the reader will checks
weather the information of the customer is correct or not and then it will decide whether
to give access to that particular person or not. If the information of the customer is correct
then he will be permitted inside otherwise he will not permit inside and switched on the
buzzer. If the password is correct then go to further process like deposit, withdraw,
balance enquiry. And the information of the access system will be displayed on the LCD
which we embedded to our board.
ABSTRACT:
The main objective of this project is to develop an embedded system, which will track the
vehicle using GPS and send an SMS to a Remote device (our mobile) through GSM
communication.
This project is implemented 8051 based At89s52 developed board interfaced with GSM
modem, GPS module, relay of connecting the devices, LCD for displaying the data. Fleet
management is nothing but tracking of a vehicle trajectory.
Automatic Vehicle Location (AVL) is an advanced method used to track and monitor any
remote vehicle equipped with a software unit that receives and transfers signals through GPS
satellite. AVL is a combination of Global Positioning System (GPS) and Geographic Information
System (GIS) that provides actual geographic real time position of each vehicle. The entire
transmission mechanism of AVL setup depends on GPS satellite, a receiver on the vehicle and a
GSM combination will work for our project.
One GPS receiver and one GSM communicated embedded systems board is arranged in a
vehicle which location we would like to find. GPS receiver continuously tracks the information
of geographical earth and that data will be sent to a mobile number from which number we will
receive the message. That means it will give the information of longitude and latitude values. By
those values we can estimate where our vehicle is?
This Automatic Vehicle Tracking system is now widely used in a variety of market
system that offers excellent communication or vehicle tracking solution.
Vensoft Technologies can protocol implementation for industrial process controlVensoft Technologies
ABSTRACT:
The main aim of this project is to implementation of industrial parameter control
through CAN protocol by using 8051 and AVR microcontrollers.
CAN is a multi-master broadcast serial bus standard for connecting electronic control
units (ECUs).Each node is able to send and receive messages, but not simultaneously: a message
(consisting primarily of an ID usually chosen to identify the message-type/sender and up to eight
message bytes) is transmitted serially onto the bus, one bit after another this signal pattern codes
the message (in NRZ) and is sensed by all nodes.
The devices that are connected by a CAN network are typically sensors, actuators and
control devices. A CAN message never reaches these devices directly, but instead a host
processor and a CAN controller are needed between these devices and the bus. Bit rates up to
1 Mbit/s are possible at network lengths below 40 m. Decreasing the bit rate allows longer
network distances (e.g. 125 kbit/s at 500 m).
The programming language used for developing the software to the microcontroller is
Embedded/Assembly. The KEIL cross compiler is used to edit, compile and debug this program.
Micro Flash programmer is used for burning the developed code on Keil in to the
microcontroller Chip. Here in our application we are using AT89C51 microcontroller which is
Flash Programmable IC.AT represents the Atmel Corporation represents CMOS technology is
used for designing the IC. This IC is one of the versions of 8051.
IEEE Developers Labs (A Division of Vensoft Technologies) is a Electronic Design Services (EDS) for VLSI / EMBEDDED and MATLAB, delivering a wide variety of end- to -end services, including design, development, & testing for customers around the world. With proven expertise across multiple domains such as Consumer Electronics Market, Infotainment, Office Automation, Mobility and Equipment Controls.
IEEE Developers Labs (A Division of Vensoft Technologies) is managed by Engineers / Professionals possessing significant industrial experience across various application domains and engineering horizontals.Our engineers have expertise across a wide range of technologies, to the engineering efforts of our clients. Leveraging standards based components and investments in dedicated test lab infrastructure, we offer innovative, flexible and cost-effective services and solutions.
vensoft technologies http://www.ieeedeveloperslabs.in/ pc controlled pick an...Vensoft Technologies
IEEE Developers Labs (A Division of Vensoft Technologies) is a Electronic Design Services (EDS) for VLSI / EMBEDDED and MATLAB, delivering a wide variety of end- to -end services, including design, development, & testing for customers around the world. With proven expertise across multiple domains such as Consumer Electronics Market, Infotainment, Office Automation, Mobility and Equipment Controls.
IEEE Developers Labs (A Division of Vensoft Technologies) is managed by Engineers / Professionals possessing significant industrial experience across various application domains and engineering horizontals.Our engineers have expertise across a wide range of technologies, to the engineering efforts of our clients. Leveraging standards based components and investments in dedicated test lab infrastructure, we offer innovative, flexible and cost-effective services and solutions.
vensoft technologies http://www.ieeedeveloperslabs.in/ finger print based at...Vensoft Technologies
IEEE Developers Labs (A Division of Vensoft Technologies) is a Electronic Design Services (EDS) for VLSI / EMBEDDED and MATLAB, delivering a wide variety of end- to -end services, including design, development, & testing for customers around the world. With proven expertise across multiple domains such as Consumer Electronics Market, Infotainment, Office Automation, Mobility and Equipment Controls.
IEEE Developers Labs (A Division of Vensoft Technologies) is managed by Engineers / Professionals possessing significant industrial experience across various application domains and engineering horizontals.Our engineers have expertise across a wide range of technologies, to the engineering efforts of our clients. Leveraging standards based components and investments in dedicated test lab infrastructure, we offer innovative, flexible and cost-effective services and solutions.
IEEE Developers Labs (A Division of Vensoft Technologies) is a Electronic Design Services (EDS) for VLSI / EMBEDDED and MATLAB, delivering a wide variety of end- to -end services, including design, development, & testing for customers around the world. With proven expertise across multiple domains such as Consumer Electronics Market, Infotainment, Office Automation, Mobility and Equipment Controls.
IEEE Developers Labs (A Division of Vensoft Technologies) is managed by Engineers / Professionals possessing significant industrial experience across various application domains and engineering horizontals.Our engineers have expertise across a wide range of technologies, to the engineering efforts of our clients. Leveraging standards based components and investments in dedicated test lab infrastructure, we offer innovative, flexible and cost-effective services and solutions.
vensoft http://www.ieeedeveloperslabs.in/ rfid based remote parent care (rfid...Vensoft Technologies
IEEE Developers Labs (A Division of Vensoft Technologies) is a Electronic Design Services (EDS) for VLSI / EMBEDDED and MATLAB, delivering a wide variety of end- to -end services, including design, development, & testing for customers around the world. With proven expertise across multiple domains such as Consumer Electronics Market, Infotainment, Office Automation, Mobility and Equipment Controls.
IEEE Developers Labs (A Division of Vensoft Technologies) is managed by Engineers / Professionals possessing significant industrial experience across various application domains and engineering horizontals.Our engineers have expertise across a wide range of technologies, to the engineering efforts of our clients. Leveraging standards based components and investments in dedicated test lab infrastructure, we offer innovative, flexible and cost-effective services and solutions.
Final year project for ece in mangalore 9448847874
IEEE Developers Labs is a Electronic Design Services (EDS) for VLSI / EMBEDDED and MATLAB, delivering a wide variety of end- to -end services, including design, development, & testing for customers around the world. With proven expertise across multiple domains such as Consumer Electronics Market, Infotainment, Office Automation, Mobility and Equipment Controls.
IEEE Developers Labs is managed by Engineers / Professionals possessing significant industrial experience across various application domains and engineering horizontals.Our engineers have expertise across a wide range of technologies, to the engineering efforts of our clients. Leveraging standards based components and investments in dedicated test lab infrastructure, we offer innovative, flexible and cost-effective services and solutions.
http://ieeedeveloperslabs.in/
Vensoft Technologies is a Electronic Design Services (EDS) for VLSI / EMBEDDED and MATLAB, delivering a wide variety of end- to -end services, including design, development, & testing for customers around the world. With proven expertise across multiple domains such as Consumer Electronics Market, Infotainment, Office Automation, Mobility and Equipment Controls.
Vensoft Technologies is managed by Engineers / Professionals possessing significant industrial experience across various application domains and engineering horizontals.Our engineers have expertise across a wide range of technologies, to the engineering efforts of our clients. Leveraging standards based components and investments in dedicated test lab infrastructure, we offer innovative, flexible and cost-effective services and solutions.
“We are sure you don’t want to say “This is what I said but not the one I want” when we deliver. So before we start any custom application development project, we always ask our client to define scope of the project. Without having defined scope, you will not be able to measure whether we have satisfied your requirements. It does not mean that it is your duty to give us defined scope. We are here to help you with that. Our experts will be in touch with you during this phase and prepare requirement spects and get it signed from you once you are happy with the same.”
Contact Us
Email: vensoftprojects@yahoo.com
Mob: 9448847874
post1
Mangalore Bangalore: JayaNagar
4th Floor Vasudev Plaza #5,11th Main Road,above Raymond showroom
Near Bus stand Gajendra Towers 3rd Floor Jayanagr 4th Block
BC Road-574219 Bangalore-560011
Bangalore: Malleshwaram
#43/3 6th Cross
7th Main Malleswaram
Bangalore-560003
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Neuro-symbolic is not enough, we need neuro-*semantic*
Ieee 2013 matlab abstracts part b
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IEEE 2013 MATLAB PROJECTS ACADEMIC YEAR 2013-2014 FOR M.Tech/ B.E/B.Tech
20. Phase Noise in MIMO Systems: Bayesian Cram´er-Rao Bounds and Soft-Input Estimation
Abstract: This paper addresses the problem of estimating time varying phase noise caused by
imperfect oscillators in multiple-input multiple-output (MIMO) systems. The estimation
problem is parameterized in detail and based on an equivalent signal model its dimensionality
is r
-Rao lower bounds (BCRLBs) and soft-input
maximum a posteriori (MAP) estimators for online, i.e., filtering, and offline, i.e., smoothing,
estimation of phase noise over the length of a frame are derived. Simulations demonstrate that
the proposed MAP estimators' mean-square error (MSE) performances are very close to the
derived BCRLBs at moderate-to-high signal-to-noise ratios. To reduce the overhead and
complexity associated with tracking the phase noise processes over the length of a frame, a
novel soft-input extended Kalman filter (EKF) and extended Kalman smoother (EKS) that use
soft statistics of the transmitted symbols given the current observations are proposed.
Numerical results indicate that by employing the proposed phase tracking approach, the biterror rate performance of a MIMO system affected by phase noise can be significantly
improved. In addition, simulation results indicate that the proposed phase noise estimation
scheme allows for application of higher order modulations and larger numbers of antennas in
MIMO systems that employ imperfect oscillators.
Published in: Signal Processing, IEEE Transactions on (Volume:61 , Issue: 10 )
Issue Date : May15, 2013
Index Terms—Multi-input multi-output (MIMO), Wiener phase noise, Bayesian Cram´er Rao
lower bound (BCRLB), maximum-a-posteriori (MAP), soft-decision extended Kalman filter (EKF),
and extended Kalman smoother (EKS).
21. Multi scale Gossip for Efficient Decentralized Averaging in Wireless Packet Networks
Abstract: This paper describes and analyzes a hierarchical algorithm called Multi
scale Gossip for solving the distributed average consensus problem in wireless sensor networks.
The algorithm proceeds by recursively partitioning a given network. Initially, nodes at the finest
scale gossip to compute local averages. Then, using multi-hop communication and geographic
routing to communicate between nodes that are not directly connected, these
local averages are progressively fused up the hierarchy until the global average is computed.
We show that the proposed hierarchical scheme with k=Θ(loglogn) levels of hierarchy is
competitive with state-of-the-art randomized gossip algorithms in terms of message
complexity, achieving ε-accuracy with high probability after O(n loglogn log*1/(ε)+ ) single-hop
messages. Key to our analysis is the way in which the network is recursively partitioned. We
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find that the above scaling law is achieved when sub networks at scale j contain O(n(2/3)j) nodes;
then the message complexity at any individual scale is O(n log*1/ε+). Another important
consequence of the hierarchical construction is that the longest distance over which messages
are exchanged is O(n1/3) hops (at the highest scale), and most messages (at lower scales) travel
shorter distances. In networks that use link-level acknowledgements, this results in less
congestion and resource usage by reducing message retransmissions. Simulations illustrate that
the proposed scheme is more efficient than state-of-the-art randomized gossip algorithms
based on averaging along paths.
Published in: Signal Processing, IEEE Transactions on (Volume:61 , Issue: 9 )
Date of Publication: May1, 2013
22. Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems
Abstract: Oscillator phase noise limits the performance of high speed communication systems since
it results in time varying channels and rotation of the signal constellation from symbol to
symbol. In this paper, jointestimation of channel gains and Wiener phase noise in multi-input multioutput (MIMO) systems is analyzed. The signal model for the estimation problem is
outlined in detail and
-Rao lower bounds (CRLBs) for the multiparameter estimation problem are derived. A data-aided least-squares (LS) estimator for jointly
obtaining the channel gains and phase noise parameters is derived. Next, a decision-directed
weighted least-squares (WLS) estimator is proposed, where pilots and estimated data symbols are
employed to track the time-varying phase noise parameters over a frame. In order to reduce the
overhead and delay associated with the estimation process, a new decision-directed extended Kalman
filter (EKF) is proposed for tracking the MIMO phase noise throughout a frame. Numerical results show
that the proposed LS, WLS, and EKF estimators' performances are close to the CRLB. Finally, simulation
results
demonstrate
that
by
employing
the
proposed channel and timevarying phase noise estimators the bit-error rate performance of a MIMO system can be significantly
improved.
Published in: Signal Processing, IEEE Transactions on (Volume:60 , Issue: 9 )
Date of Publication: Sept. 2012
Index Terms—Channel estimation, Cramér-Rao lower bound (CRLB), extended Kalman filter
(EKF), multi-input multi-output (MIMO), weighted least squares (WLS), Wiener phase noise.
23. Accurate Computation of the MGF of the Lognormal Distribution and its Application to
Sum of Lognormals
Abstract:
Sums of lognormal random
communications and other
variables
(RVs)
are of wide interest in wireless
areas of science and engineering.
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Since the distribution of lognormal sums is not log-normal and does not have a closed-form
analytical expression, many approximations and bounds have been developed. This paper develops two
computational methods for the moment generating function (MGF) or the characteristic function
(CHF) of a single lognormal RV. The first method uses classical complex integration techniques based
on steepest-descent integration. The saddle point of the integrand is explicitly expressed
by the Lambert function. The steepest-descent (optimal) contour and two closely-related closed-form
contours are derived. A simple integration rule (e.g., the midpoint rule) along any of these contours
computes the MGF/CHF with high accuracy. The second approach uses a variation on the trapezoidal
rule due to Ooura and Mori. Importantly, the cumulative distribution function of lognormalsums is
derived as an alternating series and convergence acceleration via the Epsilon algorithm is used
to reduce, in some cases, the computational load by a factor of 106! Overall, accuracy levels of 13 to 15
significant digits are readily achievable.
Published in: Communications, IEEE Transactions on (Volume:58 , Issue: 5 )
Date of Publication: May 2010
Index Terms—Sum of lognormals, moment-generating function, characteristic function.
24. Compressed Sensing of EEG for Wireless Tele monitoring with Low Energy Consumption
and Inexpensive Hardware
Abstract: Tele monitoring of electroencephalogram (EEG) through wireless body-area networks
is an evolving direction in personalized medicine. Among various constraints in designing such a
system, three important constraints are energy consumption, data compression, and device
cost. Conventional data compression methodologies, although effective in data compression,
consumes significant energy and cannot reduce device cost. Compressed sensing (CS), as an
emerging data compression methodology, is promising in catering to these constraints.
However, EEG is non sparse in the time domain and also non sparse in transformed domains
(such as the wavelet domain). Therefore, it is extremely difficult for current CS algorithms to
recover EEG with the
quality
that
satisfies
the
requirements of clinical
diagnosis and engineering applications. Recently, block sparse Bayesian learning (BSBL) was
proposed as a new method to the CS problem. This study introduces the technique to the tele
monitoring of EEG. Experimental results show that its recovery quality is better than state-ofthe-art CS algorithms, and sufficient for practical use. These results suggest that BSBL is very
promising for tele monitoring of EEG and other non sparse physiological signals.
Published in: Biomedical Engineering, IEEE Transactions on (Volume:60 , Issue: 1 )
Date of Publication: Jan. 2013
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Index Terms—Telemonitoring, Healthcare, Wireless Body- Area Network (WBAN), Compressed
Sensing (CS), Block Sparse Bayesian Learning (BSBL), electroencephalogram (EEG)
25. Compressed Sensing for Energy-Efficient Wireless Tele monitoring of Non-Invasive Fetal
ECG via Block Sparse Bayesian Learning
Abstract: Fetal ECG (FECG) tele monitoring is an important branch in telemedicine. The
design of a
tele
monitoring system via a wireless body
area
network
with
low energy consumption for ambulatory use is highly desirable. As an emerging
technique, compressed sensing (CS) shows great promise in compressing/reconstructing data
with low energy consumption. However, due to some specific characteristics of raw FECG
recordings such as non sparsity and strong noise contamination, current CS algorithms
generally fail in this application. This paper proposes to use the block sparse Bayesian
learning framework to compress/reconstruct non sparse raw FECG recordings. Experimental
results show that the framework can reconstruct the raw recordings with high quality.
Especially, the reconstruction does not destroy the interdependence relation among the
multichannel recordings. This ensures that the independent component analysis
decomposition of the reconstructed recordings has high fidelity. Furthermore, the framework
allows the use of a sparse binary sensing matrix with much fewer nonzero entries
to compress recordings. Particularly, each column of the matrix can contain only two nonzero
entries. This shows that the framework, compared to other algorithms such as current CS
algorithms and wavelet algorithms, can greatly reduce code execution in CPU in the data
compression stage.
Published in: Biomedical Engineering, IEEE Transactions on (Volume:60 , Issue: 2 )
Date of Publication: Feb. 2013
Index Terms—Fetal ECG (FECG), Tele monitoring, Telemedicine, Healthcare, Block Sparse
Bayesian Learning (BSBL), Compressed Sensing (CS), Independent Component Analysis (ICA)
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