My Conferecence Publication
•Download as PPT, PDF•
0 likes•325 views
The presentation at IEEE SoutheastCon Conference. The work is published in the conference proceedings
Report
Share
Report
Share
![Sound Source Detection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Echo Cancellation Paper
echo types, how to cancel echo in each type, which is more complex, echo cancellation implementation in matlab
prepared by : OLA MASHAQI ,, SUHAD MALAYSHE
example based audio editing
1) Equalizer matching involves finding the power spectrum of an example audio, then multiplying the input audio's magnitude spectrogram by a filter matching the example's power spectrum.
2) Noise matching involves denoising the input and example separately, then recombining their clean and noise components using the original signal-to-noise ratio.
3) Reverberation matching uses convolutive non-negative matrix factorization to decompose the input into a dry sound and reverb kernel, and convolve the estimated dry input with the example's reverb kernel.
Adaptive noise estimation algorithm for speech enhancement
This document summarizes an IEEE paper that proposes an adaptive noise estimation algorithm for speech enhancement. The algorithm uses a critical-band filter bank to decompose noisy speech into sub-bands. It then adaptively updates the sub-band noise estimate using a smoothing parameter based on estimated signal-to-noise ratio. This allows for accurate noise estimation even at low signal-to-noise ratios. Speech enhancement applied with this noise estimation technique produces high quality output speech. The algorithm provides a fast and robust method for noise estimation without needing voice activity detection.
Wideband Power Line Positioning for Indoor Localization
ubicomp2008 Wideband PowerLine Positioning for Indoor Localization - presented 09.23.2008 at UbiComp 2008, Seoul, Korea.
Comparative Analysis of Varios Diversity Techniques for Ofdm Systems
In this paper, three transmit diversity techniques are proposed that use extra transmit antennas to
obtain additional diversity. An analytical expression for the signal-to-noise ratio (SNR) and bit-error-rate at the
output of a three-branch maximal ratio combining, equal gain combining and selection diversity system is given.
The three branches are assumed to be Rayleigh fading, correlated with the BPSK modulation. Measurements of
the signal-to-noise ratio and bit-error-rate after selection, equal gain combining and maximal ratio combining
were made in Rayleigh fading channels and compared with the analytical results. Also presented are the exact
analytical average probabilities of bit error for coherent binary phase-shift keying for three-branch maximal
ratio combining, equal gain combining and selective diversity for Rayleigh fading channel. All these three
branches is compared on the basis of signal to noise ratio and bit error rate with the increasing no. of receiver.
This work confirms the benefits of choosing the maximal ratio combining instead of equal gain combining and
selection diversity by measuring the performances of these three branches for SNR and BER.
METHOD FOR REDUCING OF NOISE BY IMPROVING SIGNAL-TO-NOISE-RATIO IN WIRELESS LAN
The document proposes a noise reduction technique for speech signals in wireless LAN using a linear prediction error filter (LPEF) and adaptive digital filter (ADF). It aims to improve the signal-to-noise ratio. The LPEF is used to predict the speech signal and generate a prediction error signal. The ADF then reconstructs and subtracts the background noise from the error signal to extract the speech. Additionally, the document demonstrates that wideband MRI can obtain images with quality identical to conventional MRI in terms of SNR. It involves simultaneously exciting and acquiring multiple slices using a wideband signal.
Final ppt
This document summarizes research on applying speech enhancement techniques including spectral subtraction and Wiener filtering. The goals were to examine and simulate these techniques in Matlab. The techniques were tested on speech degraded by additive noise at different signal-to-noise ratios. Spectral subtraction removes noise by subtracting noise spectrum estimates from the degraded speech spectrum. Wiener filtering suppresses noise by multiplying the speech spectrum by a frequency response. Both techniques performed similarly at low noise, but Wiener filtering performed better at higher noise levels. Future work could include automatic noise detection and adaptation to changing noise.
L16 radiation shielding
1. The document discusses principles of radiation shielding, including the use of time, distance, and shielding materials to reduce radiation exposure. It provides examples showing how to calculate exposure levels based on these principles.
2. Shielding materials like lead, steel, concrete, and tungsten are discussed. Metrics like half-value layer and tenth-value layer are introduced to characterize the shielding ability of different materials against different radiation types.
3. The concept of buildup factor is explained, which accounts for increased radiation levels due to scattering in shielding materials. Proper ordering of shielding layers can help minimize radiation buildup.
Recommended
Echo Cancellation Paper
echo types, how to cancel echo in each type, which is more complex, echo cancellation implementation in matlab
prepared by : OLA MASHAQI ,, SUHAD MALAYSHE
example based audio editing
1) Equalizer matching involves finding the power spectrum of an example audio, then multiplying the input audio's magnitude spectrogram by a filter matching the example's power spectrum.
2) Noise matching involves denoising the input and example separately, then recombining their clean and noise components using the original signal-to-noise ratio.
3) Reverberation matching uses convolutive non-negative matrix factorization to decompose the input into a dry sound and reverb kernel, and convolve the estimated dry input with the example's reverb kernel.
Adaptive noise estimation algorithm for speech enhancement
This document summarizes an IEEE paper that proposes an adaptive noise estimation algorithm for speech enhancement. The algorithm uses a critical-band filter bank to decompose noisy speech into sub-bands. It then adaptively updates the sub-band noise estimate using a smoothing parameter based on estimated signal-to-noise ratio. This allows for accurate noise estimation even at low signal-to-noise ratios. Speech enhancement applied with this noise estimation technique produces high quality output speech. The algorithm provides a fast and robust method for noise estimation without needing voice activity detection.
Wideband Power Line Positioning for Indoor Localization
ubicomp2008 Wideband PowerLine Positioning for Indoor Localization - presented 09.23.2008 at UbiComp 2008, Seoul, Korea.
Comparative Analysis of Varios Diversity Techniques for Ofdm Systems
In this paper, three transmit diversity techniques are proposed that use extra transmit antennas to
obtain additional diversity. An analytical expression for the signal-to-noise ratio (SNR) and bit-error-rate at the
output of a three-branch maximal ratio combining, equal gain combining and selection diversity system is given.
The three branches are assumed to be Rayleigh fading, correlated with the BPSK modulation. Measurements of
the signal-to-noise ratio and bit-error-rate after selection, equal gain combining and maximal ratio combining
were made in Rayleigh fading channels and compared with the analytical results. Also presented are the exact
analytical average probabilities of bit error for coherent binary phase-shift keying for three-branch maximal
ratio combining, equal gain combining and selective diversity for Rayleigh fading channel. All these three
branches is compared on the basis of signal to noise ratio and bit error rate with the increasing no. of receiver.
This work confirms the benefits of choosing the maximal ratio combining instead of equal gain combining and
selection diversity by measuring the performances of these three branches for SNR and BER.
METHOD FOR REDUCING OF NOISE BY IMPROVING SIGNAL-TO-NOISE-RATIO IN WIRELESS LAN
The document proposes a noise reduction technique for speech signals in wireless LAN using a linear prediction error filter (LPEF) and adaptive digital filter (ADF). It aims to improve the signal-to-noise ratio. The LPEF is used to predict the speech signal and generate a prediction error signal. The ADF then reconstructs and subtracts the background noise from the error signal to extract the speech. Additionally, the document demonstrates that wideband MRI can obtain images with quality identical to conventional MRI in terms of SNR. It involves simultaneously exciting and acquiring multiple slices using a wideband signal.
Final ppt
This document summarizes research on applying speech enhancement techniques including spectral subtraction and Wiener filtering. The goals were to examine and simulate these techniques in Matlab. The techniques were tested on speech degraded by additive noise at different signal-to-noise ratios. Spectral subtraction removes noise by subtracting noise spectrum estimates from the degraded speech spectrum. Wiener filtering suppresses noise by multiplying the speech spectrum by a frequency response. Both techniques performed similarly at low noise, but Wiener filtering performed better at higher noise levels. Future work could include automatic noise detection and adaptation to changing noise.
L16 radiation shielding
1. The document discusses principles of radiation shielding, including the use of time, distance, and shielding materials to reduce radiation exposure. It provides examples showing how to calculate exposure levels based on these principles.
2. Shielding materials like lead, steel, concrete, and tungsten are discussed. Metrics like half-value layer and tenth-value layer are introduced to characterize the shielding ability of different materials against different radiation types.
3. The concept of buildup factor is explained, which accounts for increased radiation levels due to scattering in shielding materials. Proper ordering of shielding layers can help minimize radiation buildup.
Images
This document summarizes key concepts related to television imaging and the human visual system. It discusses how television aims to accurately present distant scenes in terms of geometry, brightness, contrast and color. It also explains fundamentals of human vision that television design is based on. Key aspects covered include the electromagnetic spectrum, color temperature, the definition of white, saturation, contrast, scanning and synchronization, color displays, and common video codecs.
International Journal of Computational Engineering Research(IJCER)
The document describes an active cancellation algorithm for radar cross section reduction. The algorithm uses hardware components like receiving and transmitting antennas along with software like MATLAB and C programs. It works by receiving an incoming radar signal, analyzing its parameters, searching databases to find matching echo data, generating a cancellation signal to transmit, and establishing scattering fields to synthesize an empty pattern for the radar receiver. Testing showed the algorithm improved visibility reduction by 25% over conventional methods.
Application of Digital Signal Processing In Echo Cancellation: A Survey
The advanced communications world is worried talking more naturally by using hands free this help the human being to talk
more confidently without holding any of the devices such as microphones or telephones. Acoustic echo cancellation and noise
cancellers are quite interesting nowadays because they are required in many applications such as speakerphones and audio/video
conferencing. This paper describes an alternative method of estimating signals corrupted by additive noise or interference. Acoustic
echo cancellation problem was discussed out of different noise cancellation techniques by concerning different parameters with their
comparative results .The results shown are using some specific algorithm
IRJET- Compressed Sensing based Modified Orthogonal Matching Pursuit in DTTV ...
This document discusses a modified orthogonal matching pursuit algorithm used for channel estimation in digital terrestrial television systems. It proposes using compressed sensing based channel estimation at the receiver to eliminate sparse information. Thresholding is used to remove noise from the channel estimation and improve signal quality. Simulation results show that bit error rate decreases when the received signal power from different transmitters is almost equal.
Transmission impairments
This document discusses various types of transmission impairments including attenuation, distortion, and noise. Attenuation is the reduction of signal strength during transmission, while distortion alters the original signal shape. There are different types of distortion such as amplitude, delay, and frequency distortion. Noise refers to random electrical signals that interfere with reception, and can come from internal or external sources. Signal-to-noise ratio and noise figure are discussed as ways to measure noise levels relative to signals.
Speech Enhancement Using A Minimum Mean Square Error Short Time Spectral Ampl...
This document summarizes a paper about speech enhancement using a minimum mean-square error (MMSE) short-time spectral amplitude (STSA) estimator. It begins by introducing different approaches to speech enhancement that estimate the STSA, including Wiener filtering and spectral subtraction. It then derives an MMSE STSA estimator based on modeling speech and noise spectral components as statistically independent Gaussian random variables. The paper analyzes the performance of the proposed MMSE STSA estimator and compares it to an estimator derived from Wiener filtering. It also examines the MMSE STSA estimator's performance under uncertainty of signal presence. In summary, the document proposes a new MMSE STSA estimation approach for speech enhancement and compares it to existing methods.
Speech enhancement using spectral subtraction technique with minimized cross ...
Abstract The aim of speech enhancement is to get significant reduction of noise and enhanced speech from noisy speech. There are several
approaches for speech enhancement .earlier approaches didn’t consider cross spectral terms into account. Cross spectral terms
become prominent when processing window size becomes small i.e. 20ms-30ms. In this paper, an enhancement method is
proposed for significant reduction of noise, and improvement in the quality and perceptibility of speech degraded by correlated
additive background noise. The proposed method is based on the spectral subtraction technique. The simple spectral subtraction
technique results in poor reduction of noise. One of the main reasons for this is neglecting the cross spectral terms of speech and
noise, based on the appropriation that clean speech and noise signals are completely uncorrelated to each other, which is not true
on short time basis. In this paper an improvement in reduction of the noise is achieved as compared to the earlier methods. This
fact is mainly attributed to the cross spectral terms between speech and noise. This algorithm can be implemented and used in
hearing aids for the benefit of hearing impaired people. Objective speech quality measures, spectrogram analyses and subjective
listening tests conforms the proposed method is more effective in comparison with earlier speech enhancement techniques.
Keywords: Spectral Subtaction,Cross Spectral Components
Acoustic echo cancellation
The document discusses acoustic echo cancellation using an adaptive filter algorithm. It introduces the problem of acoustic echoes in hands-free communication systems where speech from the far end is captured by the near end microphone and sent back, causing discomfort. It then describes the basic setup, explains what causes acoustic echoes, and discusses why acoustic echo is more serious than network echo. It outlines solutions like using physical tools or an acoustic echo canceller algorithm. The acoustic echo canceller works by using an adaptive filter to generate an echo replica from the far end signal to subtract from and cancel the echo picked up by the microphone. The LMS algorithm is commonly used for adaptation due to its simplicity.
modulation transfer function (MTF)
The resolution and performance of an optical microscope can be characterized by a quantity known as the modulation transfer function (MTF), which is a measurement of the microscope's ability to transfer contrast from the specimen to the intermediate image plane at a specific resolution.
Masters' Thesis Defense Slides
This document summarizes a research paper on detecting intruders in a wireless sensor network using low-power passive infrared (PIR) sensors. It presents an algorithm that uses the Haar transform and support vector machines to distinguish intruder signatures from clutter signatures in the sensor data. The algorithm was tested through simulations and field experiments, achieving detection rates over 90% while minimizing false alarms. However, limitations were observed when testing in high-clutter summer conditions. An analytical model of intruder signatures suggests that velocity and direction information cannot be extracted from a single sensor but may require a network of spatially distributed sensors.
L 15 radiation shielding principles. ppt
The document discusses principles of radiation shielding, including different types of radiation and common shielding materials. It describes three basic principles for controlling external radiation: time, distance, and shielding. Shielding methods include using thickness of lead, concrete, steel or other materials to reduce radiation intensity based on half-value layer and tenth-value layer measurements.
High gain semiconductor optical amplifiers
The document discusses high-gain semiconductor optical amplifiers (SOAs). It covers several approaches to reducing facet reflectivity in traveling wave SOAs, including anti-reflection coatings, tilted active regions, and transparent window regions. It also summarizes several research papers on specific high-gain SOA designs and technologies, such as those using single layer anti-reflection coatings, angled facets, multilayer coatings, and quantum dot active regions.
Cr & dr
This document provides an overview of computed radiography (CR), a type of digital radiography. CR uses reusable imaging plates coated with photostimulable phosphor instead of film. When exposed to x-rays, the plate stores a latent image. A scanner then reads the plate with a laser, causing the phosphor to release visible light photons. A photomultiplier tube converts the light into electrical signals representing the image. CR offers benefits over film such as wider exposure latitude, immediate digital images, and reusability of plates. The document also discusses pixel size, gray scale, spatial resolution, contrast resolution, and file size as key performance parameters of digital images.
Noise removal techniques for microwave remote sensing radar data and its eval...
Microwave Remote Sensing data acquired by a RADAR sensor such as SAR(Synthetic Aperture
Radar) is affected by a peculiar kind of noise called speckle. This noise not only renders the
data ineffective for classification, texture analysis, segmentation etc. which are used for image
analysis purposes, but also degrades the overall contrast and radiometric quality of the image.
Here we discuss the various noise removal techniques which have been widely used by scientists
all over the world. Different filtering methods have their pros and cons, and no single method
can give the most satisfactory result. In order to circumvent those issues, better and better
methods are being attempted. One of the recent methods is that based on Wavelet technique.
This paper discusses the denoising techniques based on Wavelets and the results from some of
those methods. The relative merits and demerits of the filters and their evaluation is also done.
NOISE REMOVAL TECHNIQUES FOR MICROWAVE REMOTE SENSING RADAR DATA AND ITS EVAL...
Microwave Remote Sensing data acquired by a RADAR sensor such as SAR(Synthetic Aperture Radar) is affected by a peculiar kind of noise called speckle. This noise not only renders the
data ineffective for classification, texture analysis, segmentation etc. which are used for image analysis purposes, but also degrades the overall contrast and radiometric quality of the image. Here we discuss the various noise removal techniques which have been widely used by scientists all over the world. Different filtering methods have their pros and cons, and no single method can give the most satisfactory result. In order to circumvent those issues, better and better methods are being attempted. One of the recent methods is that based on Wavelet technique. This paper discusses the denoising techniques based on Wavelets and the results from some of those methods. The relative merits and demerits of the filters and their evaluation is also done.
Ijetcas14 479
The document discusses various techniques for removing speckle noise from images, which is a type of noise that inherently exists in synthetic aperture radar (SAR) images. It describes common speckle noise removal methods like median filters, Wiener filters, Frost filters, and Lee filters. The document concludes that the Wiener filter is generally best for removing speckle noise as it minimizes the mean square error when filtering.
Radiographic Image contrast & image resolution
This document discusses various concepts related to radiographic image quality and measurements. It defines terms like radiographic contrast, spatial resolution, contrast resolution, noise, and artifacts. It describes how factors like the film, geometry, and subject can impact radiographic quality. It also discusses optical density, sensitometry, and how the characteristic curve relates exposure to density. The modulation transfer function and how it relates to spatial frequencies is explained. Overall, the document provides an overview of key technical factors and measurements that influence the quality of radiographic images.
F010334548
This document summarizes a research paper on speech enhancement using the signal subspace algorithm. It begins with an abstract describing how noise degrades speech quality and intelligibility in communication systems. It then provides background on speech enhancement objectives and commonly used methods like spectral subtraction and signal subspace. The paper describes the signal subspace algorithm and shows its ability to enhance speech signals by suppressing noise. Experimental results on sine waves with added Gaussian noise demonstrate improved peak signal-to-noise ratios when using the signal subspace method compared to the noisy signals. The conclusion is that the algorithm removes noise to a great extent from noisy speech.
IMPLEMENTATION OF WBSS IN LOW SNR.pptx
About Spectrum sensing. Detection of signal at low SNR and classifying the signal and noise using machine learning algorithm.
Radar Systems -Unit- I : Radar Equation
This document provides an overview of the course content for Unit 1 of a radar systems course. The key topics covered include the modified radar range equation, signal-to-noise ratio, probability of detection and false alarms, integration of radar pulses, radar cross section of targets, creeping waves, transmitter power, pulse repetition frequency and range ambiguities, and system losses. The document also provides qualitative explanations and equations for several radar concepts.
Radar 2009 a 6 detection of signals in noise
This document summarizes a lecture on radar signal detection. It discusses detecting signals in noise, the radar detection problem, basic target detection tests, and how detection performance is affected by factors like signal-to-noise ratio and number of integrated pulses. It outlines concepts like probability of detection, probability of false alarm, and the tradeoff between the two. Integration of multiple pulses can improve performance through coherent or non-coherent integration. Fluctuating targets are also addressed.
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...
FCC is currently working on the concept of white space users “borrowing” spectrum from free license
holders temporarily to improve the spectrum utilization.
This project provides a relation between a Pf and the SNR value of any spectrum detector to have a
certain performance. Previous spectrum sensing detection techniques are only suitable for Low SNR and
are based on signal information values. But these methods are purely narrow band spectrum applications
In order to overcome the above said drawbacks we propose a novel method of spectrum sensing method
and is suitable for low and high SNR values, the sensed spectrum applicable for wide band applications.
Our proposed method does not require signal information at the receiver and channel information, because
this flexibility sensing rate is very high compared to previous techniques.
More Related Content
What's hot
Images
This document summarizes key concepts related to television imaging and the human visual system. It discusses how television aims to accurately present distant scenes in terms of geometry, brightness, contrast and color. It also explains fundamentals of human vision that television design is based on. Key aspects covered include the electromagnetic spectrum, color temperature, the definition of white, saturation, contrast, scanning and synchronization, color displays, and common video codecs.
International Journal of Computational Engineering Research(IJCER)
The document describes an active cancellation algorithm for radar cross section reduction. The algorithm uses hardware components like receiving and transmitting antennas along with software like MATLAB and C programs. It works by receiving an incoming radar signal, analyzing its parameters, searching databases to find matching echo data, generating a cancellation signal to transmit, and establishing scattering fields to synthesize an empty pattern for the radar receiver. Testing showed the algorithm improved visibility reduction by 25% over conventional methods.
Application of Digital Signal Processing In Echo Cancellation: A Survey
The advanced communications world is worried talking more naturally by using hands free this help the human being to talk
more confidently without holding any of the devices such as microphones or telephones. Acoustic echo cancellation and noise
cancellers are quite interesting nowadays because they are required in many applications such as speakerphones and audio/video
conferencing. This paper describes an alternative method of estimating signals corrupted by additive noise or interference. Acoustic
echo cancellation problem was discussed out of different noise cancellation techniques by concerning different parameters with their
comparative results .The results shown are using some specific algorithm
IRJET- Compressed Sensing based Modified Orthogonal Matching Pursuit in DTTV ...
This document discusses a modified orthogonal matching pursuit algorithm used for channel estimation in digital terrestrial television systems. It proposes using compressed sensing based channel estimation at the receiver to eliminate sparse information. Thresholding is used to remove noise from the channel estimation and improve signal quality. Simulation results show that bit error rate decreases when the received signal power from different transmitters is almost equal.
Transmission impairments
This document discusses various types of transmission impairments including attenuation, distortion, and noise. Attenuation is the reduction of signal strength during transmission, while distortion alters the original signal shape. There are different types of distortion such as amplitude, delay, and frequency distortion. Noise refers to random electrical signals that interfere with reception, and can come from internal or external sources. Signal-to-noise ratio and noise figure are discussed as ways to measure noise levels relative to signals.
Speech Enhancement Using A Minimum Mean Square Error Short Time Spectral Ampl...
This document summarizes a paper about speech enhancement using a minimum mean-square error (MMSE) short-time spectral amplitude (STSA) estimator. It begins by introducing different approaches to speech enhancement that estimate the STSA, including Wiener filtering and spectral subtraction. It then derives an MMSE STSA estimator based on modeling speech and noise spectral components as statistically independent Gaussian random variables. The paper analyzes the performance of the proposed MMSE STSA estimator and compares it to an estimator derived from Wiener filtering. It also examines the MMSE STSA estimator's performance under uncertainty of signal presence. In summary, the document proposes a new MMSE STSA estimation approach for speech enhancement and compares it to existing methods.
Speech enhancement using spectral subtraction technique with minimized cross ...
Abstract The aim of speech enhancement is to get significant reduction of noise and enhanced speech from noisy speech. There are several
approaches for speech enhancement .earlier approaches didn’t consider cross spectral terms into account. Cross spectral terms
become prominent when processing window size becomes small i.e. 20ms-30ms. In this paper, an enhancement method is
proposed for significant reduction of noise, and improvement in the quality and perceptibility of speech degraded by correlated
additive background noise. The proposed method is based on the spectral subtraction technique. The simple spectral subtraction
technique results in poor reduction of noise. One of the main reasons for this is neglecting the cross spectral terms of speech and
noise, based on the appropriation that clean speech and noise signals are completely uncorrelated to each other, which is not true
on short time basis. In this paper an improvement in reduction of the noise is achieved as compared to the earlier methods. This
fact is mainly attributed to the cross spectral terms between speech and noise. This algorithm can be implemented and used in
hearing aids for the benefit of hearing impaired people. Objective speech quality measures, spectrogram analyses and subjective
listening tests conforms the proposed method is more effective in comparison with earlier speech enhancement techniques.
Keywords: Spectral Subtaction,Cross Spectral Components
Acoustic echo cancellation
The document discusses acoustic echo cancellation using an adaptive filter algorithm. It introduces the problem of acoustic echoes in hands-free communication systems where speech from the far end is captured by the near end microphone and sent back, causing discomfort. It then describes the basic setup, explains what causes acoustic echoes, and discusses why acoustic echo is more serious than network echo. It outlines solutions like using physical tools or an acoustic echo canceller algorithm. The acoustic echo canceller works by using an adaptive filter to generate an echo replica from the far end signal to subtract from and cancel the echo picked up by the microphone. The LMS algorithm is commonly used for adaptation due to its simplicity.
modulation transfer function (MTF)
The resolution and performance of an optical microscope can be characterized by a quantity known as the modulation transfer function (MTF), which is a measurement of the microscope's ability to transfer contrast from the specimen to the intermediate image plane at a specific resolution.
Masters' Thesis Defense Slides
This document summarizes a research paper on detecting intruders in a wireless sensor network using low-power passive infrared (PIR) sensors. It presents an algorithm that uses the Haar transform and support vector machines to distinguish intruder signatures from clutter signatures in the sensor data. The algorithm was tested through simulations and field experiments, achieving detection rates over 90% while minimizing false alarms. However, limitations were observed when testing in high-clutter summer conditions. An analytical model of intruder signatures suggests that velocity and direction information cannot be extracted from a single sensor but may require a network of spatially distributed sensors.
L 15 radiation shielding principles. ppt
The document discusses principles of radiation shielding, including different types of radiation and common shielding materials. It describes three basic principles for controlling external radiation: time, distance, and shielding. Shielding methods include using thickness of lead, concrete, steel or other materials to reduce radiation intensity based on half-value layer and tenth-value layer measurements.
High gain semiconductor optical amplifiers
The document discusses high-gain semiconductor optical amplifiers (SOAs). It covers several approaches to reducing facet reflectivity in traveling wave SOAs, including anti-reflection coatings, tilted active regions, and transparent window regions. It also summarizes several research papers on specific high-gain SOA designs and technologies, such as those using single layer anti-reflection coatings, angled facets, multilayer coatings, and quantum dot active regions.
Cr & dr
This document provides an overview of computed radiography (CR), a type of digital radiography. CR uses reusable imaging plates coated with photostimulable phosphor instead of film. When exposed to x-rays, the plate stores a latent image. A scanner then reads the plate with a laser, causing the phosphor to release visible light photons. A photomultiplier tube converts the light into electrical signals representing the image. CR offers benefits over film such as wider exposure latitude, immediate digital images, and reusability of plates. The document also discusses pixel size, gray scale, spatial resolution, contrast resolution, and file size as key performance parameters of digital images.
Noise removal techniques for microwave remote sensing radar data and its eval...
Microwave Remote Sensing data acquired by a RADAR sensor such as SAR(Synthetic Aperture
Radar) is affected by a peculiar kind of noise called speckle. This noise not only renders the
data ineffective for classification, texture analysis, segmentation etc. which are used for image
analysis purposes, but also degrades the overall contrast and radiometric quality of the image.
Here we discuss the various noise removal techniques which have been widely used by scientists
all over the world. Different filtering methods have their pros and cons, and no single method
can give the most satisfactory result. In order to circumvent those issues, better and better
methods are being attempted. One of the recent methods is that based on Wavelet technique.
This paper discusses the denoising techniques based on Wavelets and the results from some of
those methods. The relative merits and demerits of the filters and their evaluation is also done.
NOISE REMOVAL TECHNIQUES FOR MICROWAVE REMOTE SENSING RADAR DATA AND ITS EVAL...
Microwave Remote Sensing data acquired by a RADAR sensor such as SAR(Synthetic Aperture Radar) is affected by a peculiar kind of noise called speckle. This noise not only renders the
data ineffective for classification, texture analysis, segmentation etc. which are used for image analysis purposes, but also degrades the overall contrast and radiometric quality of the image. Here we discuss the various noise removal techniques which have been widely used by scientists all over the world. Different filtering methods have their pros and cons, and no single method can give the most satisfactory result. In order to circumvent those issues, better and better methods are being attempted. One of the recent methods is that based on Wavelet technique. This paper discusses the denoising techniques based on Wavelets and the results from some of those methods. The relative merits and demerits of the filters and their evaluation is also done.
Ijetcas14 479
The document discusses various techniques for removing speckle noise from images, which is a type of noise that inherently exists in synthetic aperture radar (SAR) images. It describes common speckle noise removal methods like median filters, Wiener filters, Frost filters, and Lee filters. The document concludes that the Wiener filter is generally best for removing speckle noise as it minimizes the mean square error when filtering.
Radiographic Image contrast & image resolution
This document discusses various concepts related to radiographic image quality and measurements. It defines terms like radiographic contrast, spatial resolution, contrast resolution, noise, and artifacts. It describes how factors like the film, geometry, and subject can impact radiographic quality. It also discusses optical density, sensitometry, and how the characteristic curve relates exposure to density. The modulation transfer function and how it relates to spatial frequencies is explained. Overall, the document provides an overview of key technical factors and measurements that influence the quality of radiographic images.
What's hot (17)
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
Application of Digital Signal Processing In Echo Cancellation: A Survey
Application of Digital Signal Processing In Echo Cancellation: A Survey
IRJET- Compressed Sensing based Modified Orthogonal Matching Pursuit in DTTV ...
IRJET- Compressed Sensing based Modified Orthogonal Matching Pursuit in DTTV ...
Speech Enhancement Using A Minimum Mean Square Error Short Time Spectral Ampl...
Speech Enhancement Using A Minimum Mean Square Error Short Time Spectral Ampl...
Speech enhancement using spectral subtraction technique with minimized cross ...
Speech enhancement using spectral subtraction technique with minimized cross ...
Noise removal techniques for microwave remote sensing radar data and its eval...
Noise removal techniques for microwave remote sensing radar data and its eval...
NOISE REMOVAL TECHNIQUES FOR MICROWAVE REMOTE SENSING RADAR DATA AND ITS EVAL...
NOISE REMOVAL TECHNIQUES FOR MICROWAVE REMOTE SENSING RADAR DATA AND ITS EVAL...
Similar to My Conferecence Publication
F010334548
This document summarizes a research paper on speech enhancement using the signal subspace algorithm. It begins with an abstract describing how noise degrades speech quality and intelligibility in communication systems. It then provides background on speech enhancement objectives and commonly used methods like spectral subtraction and signal subspace. The paper describes the signal subspace algorithm and shows its ability to enhance speech signals by suppressing noise. Experimental results on sine waves with added Gaussian noise demonstrate improved peak signal-to-noise ratios when using the signal subspace method compared to the noisy signals. The conclusion is that the algorithm removes noise to a great extent from noisy speech.
IMPLEMENTATION OF WBSS IN LOW SNR.pptx
About Spectrum sensing. Detection of signal at low SNR and classifying the signal and noise using machine learning algorithm.
Radar Systems -Unit- I : Radar Equation
This document provides an overview of the course content for Unit 1 of a radar systems course. The key topics covered include the modified radar range equation, signal-to-noise ratio, probability of detection and false alarms, integration of radar pulses, radar cross section of targets, creeping waves, transmitter power, pulse repetition frequency and range ambiguities, and system losses. The document also provides qualitative explanations and equations for several radar concepts.
Radar 2009 a 6 detection of signals in noise
This document summarizes a lecture on radar signal detection. It discusses detecting signals in noise, the radar detection problem, basic target detection tests, and how detection performance is affected by factors like signal-to-noise ratio and number of integrated pulses. It outlines concepts like probability of detection, probability of false alarm, and the tradeoff between the two. Integration of multiple pulses can improve performance through coherent or non-coherent integration. Fluctuating targets are also addressed.
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...
FCC is currently working on the concept of white space users “borrowing” spectrum from free license
holders temporarily to improve the spectrum utilization.
This project provides a relation between a Pf and the SNR value of any spectrum detector to have a
certain performance. Previous spectrum sensing detection techniques are only suitable for Low SNR and
are based on signal information values. But these methods are purely narrow band spectrum applications
In order to overcome the above said drawbacks we propose a novel method of spectrum sensing method
and is suitable for low and high SNR values, the sensed spectrum applicable for wide band applications.
Our proposed method does not require signal information at the receiver and channel information, because
this flexibility sensing rate is very high compared to previous techniques.
A Noise Reduction Method Based on Modified Least Mean Square Algorithm of Rea...
This document presents a modified least mean square (LMS) algorithm to reduce noise in real-time speech signals. The proposed approach modifies the standard LMS algorithm by incorporating a Wiener filter. Experiments are conducted on speech samples from the NOIZEUS database with various types of noise at different signal-to-noise ratios. Objective measures like segmental SNR, log likelihood ratio, Itakura-Saito spectral distance, and cepstrum are used to evaluate the performance of the proposed algorithm compared to the standard LMS algorithm. The results show that the modified LMS algorithm with Wiener filter outperforms the standard LMS algorithm in enhancing the quality of noisy speech signals based on the objective measure values.
Cognitive Radio
Cognitive radio allows unlicensed secondary users to access licensed spectrum bands not currently in use by licensed primary users through spectrum sensing and dynamic spectrum access. It aims to improve spectrum utilization efficiency by exploiting spectrum holes - unused spectrum portions in time, frequency or space. Key techniques for cognitive radio include spectrum sensing to detect spectrum holes, spectrum sharing which allocates holes to secondary users while avoiding interference to primary users, and spectrum mobility which allows secondary users to handoff between bands when primary users become active. Challenges include hidden terminal problems, synchronization issues and dealing with uncertainties from noise, fading and shadowing.
Theses exam 2012 - Wideband Speech Reconstruction
In most of the communication systems speech is transmittes in narrowband, containing frequencies from 300 Hz to 3400 Hz. Compared with normal speech which is generally contains a perceptually significant amount of energy up to 8 kHz, this speech has a muffled quality and reduced intelligibility, particularly noticeable in sounds such as /s/ and /f/ . Speech which has been bandlimited to 8 kHz is often coded for this reason, but this requires an increase in the bit rate.
Wideband reconstruction is a scheme that adds a synthesized highband signal to narrowband speech to produce a higher quality wideband speech signal. The synthesized highband signal is based entirely on information contained in the narrowband speech, and is thus achieved at zero increase in the bit rate from a coding perspective. Wideband reconstruction can function as a post-processor to any narrowband telephone receiver, or alternatively it can be combined with any narrowband speech coder to produce a very low bit rate wideband speech coder. Applications include higher quality mobile, teleconferencing, and internet telephony.
This final project aims to simulate the bandwidth extension system using spectral shifting method for highband excitation, which is used codebook and linear mapping to estimate the envelope of highband. The algorithm for wide band expansion proved to work, though certain unwanted artefacts were introduced in the reconstructed signal. Listening tests confirmed the presence of these unwanted artefacts. Objective and subjective tests demonstrate that wideband speech synthesized using these techniques have presentage in (numerical) 50 % of the respondences with SNR 5,13 dB. Optimum parameter used in this system goes to Euclidean distance with K=1 for KNN classification and correlation distance with 256 clusters for Kmean clustering. Computational time for spectral shifting 0.144 s, for spectral folding 0.138 s and codebook needs 164,2 s. Subjective measurement using DMOS for spectral shifting about 3.65 and for spectral folding 2. However further research and improvement to reach higher quality from this system for implementation are still needed.
Speech measurement using laser doppler vibrometer
This document discusses using a laser Doppler vibrometer (LDV) sensor to remotely measure speech for speech enhancement in noisy environments. It presents a speech enhancement algorithm that uses the LDV measurements along with acoustic sensor measurements. The algorithm includes speckle noise suppression of the LDV signal, an LDV-based time-frequency voice activity detection, and spectral gain modification. Experimental results demonstrate the effectiveness of the proposed approach in suppressing highly non-stationary noise components.
PHOENIX AUDIO TECHNOLOGIES - A large Audio Signal Algorithm Portfolio
Phoenix Audio Technology has the attached publication available which lists their Audio Signal Algorithm Portfolio, e.g. Multi Sensor Processing, Blind Source Separation, Echo and Reference Channel Canceling, Single Sensor Processing, Multi Resolution Analysis, Single Power Compression, Direction Finding, Data Tracking, Data Fusion, and more.
Acoustic fMRI noise reduction: a perceived loudness approach
This document discusses a study that measured the subjective loudness of acoustic noise from fMRI scanners. The study recorded noise from three echo planar imaging sequences on a 3 Tesla MRI scanner. In a psychophysical experiment with 9 subjects, the perceived loudness of the fMRI noise did not increase linearly with sound pressure level. Noises with lower damping factors and frequencies in the 2.5-6kHz range of ear sensitivity were perceived as louder. EPI sequences with suppressed frequencies in the ear's most sensitive range and a highly impulsive nature distributed over longer times should reduce perceived loudness of fMRI acoustic noise.
A Novel Uncertainty Parameter SR ( Signal to Residual Spectrum Ratio ) Evalua...
This document presents a novel speech enhancement evaluation approach called SR (Signal to Residual spectrum ratio). SR aims to improve speech intelligibility for hearing impaired individuals in non-stationary noisy environments. The approach segments noisy speech into pure, quasi, and non-speech frames using threshold conditions on the signal and estimated noise spectra. Noise power is estimated differently for each frame type. SR and LLR (log likelihood ratio) are used to measure distortions and compare the proposed approach to weighted averaging techniques. Results show the proposed SR approach achieves better segmental SNR and LLR scores than weighted averaging, indicating it enhances speech quality and intelligibility more effectively in car, airport, and train noise environments.
wbn2007-hella-talk.ppt
This document summarizes a presentation on radio frequency integrated circuits (RFICs) and related technologies given at Rensselaer Polytechnic Institute. It discusses trends in multi-band and wideband communication, challenges in RFIC design including wide frequency coverage and power consumption, and applications of technologies like cognitive radio, ultra-wideband communication, and 3D RF integration. The presentation also covers topics ranging from spectrum utilization to multi-band voltage-controlled oscillator design.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
This document summarizes and compares several techniques for enhancing the intelligibility of speech signals corrupted by noise. It describes single channel techniques like spectral subtraction, spectral subtraction with oversubtraction, and nonlinear spectral subtraction. It also covers multi-channel techniques such as adaptive noise cancellation and multisensory beamforming. Additionally, it discusses spectral subtraction using adaptive averaging, noise reduction using enhanced Wiener filtering, and other adaptive neuro-fuzzy techniques for speech enhancement. The goal of these techniques is to improve the quality and intelligibility of noisy speech signals.
Biologically Inspired Methods for Adversarially Robust Deep Learning
Presentation of Muhammad's research on Biologically Inspired Methods for Adversarially Robust Deep Learning at MIT on April 12 2024. The talk covers work that integrates various sensory, and cerebral biological mechanisms into Deep Neural Networks (DNNs) and evaluates the impact on robustness to noise and adversarial attacks
spread spectrum communication
This document discusses spread spectrum communication. It provides an overview of spread spectrum techniques, including the advantages of spread spectrum systems in rejecting interference and jamming. It describes the basic components of a spread spectrum system, including the use of pseudo-noise sequences to spread the signal bandwidth. The document outlines the key properties of pseudo-noise sequences, including their balance, run, and correlation properties. It also provides examples of direct sequence and frequency hopping spread spectrum systems and their applications.
Experimental Evaluation of Distortion in Amplitude Modulation Techniques for ...
Experimental Evaluation of Distortion in Amplitude Modulation Techniques for Parametric Loudspeakers
A PC (Intel Xeon with 16Gb of RAM, Intel Corporation, Santa Clara, California, USA)
Audio Measurements in the Presence of a High-Level Ultrasonic Carrier
A Combined Sub-Band And Reconstructed Phase Space Approach To Phoneme Classif...
This paper presents a method for classifying phonemes that combines reconstructed phase space (RPS) representations with sub-band decomposition of speech signals. Experiments on the TIMIT database show that different phonological classes (vowels, fricatives, nasals, stops) are recognized with varying accuracy depending on the frequency sub-band. The results indicate filtering signals before embedding in RPS has potential to improve classification accuracy by exploiting differences in how well phonemes of different classes are represented in different frequency ranges. Combining classifications from multiple sub-bands may yield better performance than using the full-band signal alone.
F0483340
This document analyzes spectrum sensing using an energy detection technique in cognitive radio. It evaluates the performance of energy detection at signal-to-noise ratios (SNRs) of -10dB, -15dB, and -20dB. The energy detector is simple to implement and requires no knowledge of the transmitted signal. Simulation results show that the probability of detection increases with higher SNR values. Energy detection performance depends on the predefined probability of false alarm and detection in both additive white Gaussian noise and Rayleigh fading channels.
Hybrid Reverberator Using Multiple Impulse Responses for Audio Rendering Impr...
The document proposes an algorithm for audio rendering using multiple impulse responses that allows for reproduction of a moving listener position. It analyzes impulse response tails to generate a prototype tail and uses a hybrid reverberation structure including FIR and IIR filters to synthesize the reverberation effect in real-time. Experimental results on a church impulse response database show the approach can accurately reproduce reverberation time and clarity measurements compared to real impulse responses. Informal listening tests found no perceptible differences between the proposed approach and an existing technique.
Similar to My Conferecence Publication (20)
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...
Spectrum Sensing Detection with Sequential Forward Search in Comparison to Kn...
A Noise Reduction Method Based on Modified Least Mean Square Algorithm of Rea...
A Noise Reduction Method Based on Modified Least Mean Square Algorithm of Rea...
PHOENIX AUDIO TECHNOLOGIES - A large Audio Signal Algorithm Portfolio
PHOENIX AUDIO TECHNOLOGIES - A large Audio Signal Algorithm Portfolio
Acoustic fMRI noise reduction: a perceived loudness approach
Acoustic fMRI noise reduction: a perceived loudness approach
A Novel Uncertainty Parameter SR ( Signal to Residual Spectrum Ratio ) Evalua...
A Novel Uncertainty Parameter SR ( Signal to Residual Spectrum Ratio ) Evalua...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
Biologically Inspired Methods for Adversarially Robust Deep Learning
Biologically Inspired Methods for Adversarially Robust Deep Learning
Experimental Evaluation of Distortion in Amplitude Modulation Techniques for ...
Experimental Evaluation of Distortion in Amplitude Modulation Techniques for ...
A Combined Sub-Band And Reconstructed Phase Space Approach To Phoneme Classif...
A Combined Sub-Band And Reconstructed Phase Space Approach To Phoneme Classif...
Hybrid Reverberator Using Multiple Impulse Responses for Audio Rendering Impr...
Hybrid Reverberator Using Multiple Impulse Responses for Audio Rendering Impr...
Recently uploaded
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Recently uploaded (20)
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
My Conferecence Publication
- 1. Experimental Performance Analysis of Sound Source Detection with SRP PHAT- β Anand Ramamurthy, Harikrishnan Unnikrishnan, Kevin. D. Donohue Center For Visualization & Virtual Environments Funded in part by NSF EPSCoR Program UNIVERSITY OF KENTUCKY College of Engineering Department of Electrical and Computer Engineering
- 6. SRCP ∑ Compute Coherent Power (x,y,z) Uniquely defines (x,y,z)
- 9. PHAT
- 12. Experimental Setup Speakers (sound source) Office Wall Microphones Field of View
- 14. Results
- 16. Narrow band Broad band Low reverb. High reverb.
Editor's Notes
- I am Harikrishnan from University of Kentucky. I would like to present the work done by us on Sound Source detection technique, called Steered Response Power using phase transform.