This document lists 48 potential MTech thesis titles for 2016 related to VLSI projects in areas like front end and back end design. It also provides contact information for MSR Projects, an organization that offers PLC and MATLAB training as well as IEEE/live projects for BTech and MTech students. The titles cover topics such as multipliers, FIR filters, error correction codes, FFTs, reversible logic design, and low power circuit design.
The document discusses the instruction set of the 8085 microprocessor, specifically the branch group instructions. It describes both unconditional and conditional CALL instructions that allow a program to call subroutines, and RET instructions to return from subroutines. It also covers the RST n and PCHL instructions. An example program to multiply two 8-bit numbers using successive addition is provided to illustrate the use of these instructions.
Design & implementation of high speed carry select adderssingh7603
This document describes the design and implementation of a high-speed carry select adder. It begins with an introduction that discusses reducing area and power consumption in digital adders. It then defines a carry select adder and describes how it independently generates multiple carries to select from in order to reduce carry propagation delay. The document outlines the structure of a basic 16-bit carry select adder and describes replacing ripple carry adders with binary to excess-1 converters to further reduce area and power. It also proposes using D-latches instead to achieve lower delay and higher speeds. The document implements various adder designs in VHDL and verifies their operation through simulation and synthesis.
A Model Transformation from the Palladio Component Model to Layered Queueing ...Heiko Koziolek
This document describes a model transformation from the Palladio Component Model (PCM) to Layered Queueing Networks (LQN) called PCM2LQN. PCM2LQN enables the use of efficient LQN solvers for performance analysis of component-based software designs modeled in PCM. It implements a mapping from PCM to LQN that bridges semantic gaps and integrates LQN solvers into the PCM modeling environment. A case study of a BRP system demonstrates generating an LQN from a PCM and comparing performance results between the two models.
Design of high speed adders for efficient digital design blocksBharath Chary
This document discusses the design of high-speed adders for efficient digital design blocks. It compares parallel-prefix adders like Kogge-Stone, Brent-Kung, Sklansky, and Kogge-Stone Ling adders. The Kogge-Stone Ling adder is found to perform most efficiently. Different tree adder structures are designed using CMOS logic and transmission gate logic and compared in terms of area, delay, and power consumption. Ling adders are analyzed, and it is shown that they reduce dependency on previous bit additions compared to other adders.
Optimized declarative transformation First Eclipse QVTc resultsEdward Willink
1) This document discusses the first results from Eclipse QVTc, which implements the declarative QVT Core (QVTc) specification for model transformations.
2) Optimization techniques like reducing multi-input mappings to single-input mappings with local loops, and analyzing dependencies between mappings to generate an efficient static schedule provided a 30x speedup over naive polling execution.
3) While more optimizations are still needed, particularly for QVT Relational (QVTr), this implementation demonstrates that declarative transformations can be efficiently executed by analyzing the graph of dependencies between mappings.
This document presents information on Programmable Logic Arrays (PLA). It defines a PLA as a type of programmable logic device used to implement combinational logic circuits. A PLA has programmable AND and OR gate planes that can be conditioned to produce outputs. The document provides the block diagram and internal construction of a PLA. It also gives examples of implementing logic functions in a PLA using a program table.
This document lists 48 potential MTech thesis titles for 2016 related to VLSI projects in areas like front end and back end design. It also provides contact information for MSR Projects, an organization that offers PLC and MATLAB training as well as IEEE/live projects for BTech and MTech students. The titles cover topics such as multipliers, FIR filters, error correction codes, FFTs, reversible logic design, and low power circuit design.
The document discusses the instruction set of the 8085 microprocessor, specifically the branch group instructions. It describes both unconditional and conditional CALL instructions that allow a program to call subroutines, and RET instructions to return from subroutines. It also covers the RST n and PCHL instructions. An example program to multiply two 8-bit numbers using successive addition is provided to illustrate the use of these instructions.
Design & implementation of high speed carry select adderssingh7603
This document describes the design and implementation of a high-speed carry select adder. It begins with an introduction that discusses reducing area and power consumption in digital adders. It then defines a carry select adder and describes how it independently generates multiple carries to select from in order to reduce carry propagation delay. The document outlines the structure of a basic 16-bit carry select adder and describes replacing ripple carry adders with binary to excess-1 converters to further reduce area and power. It also proposes using D-latches instead to achieve lower delay and higher speeds. The document implements various adder designs in VHDL and verifies their operation through simulation and synthesis.
A Model Transformation from the Palladio Component Model to Layered Queueing ...Heiko Koziolek
This document describes a model transformation from the Palladio Component Model (PCM) to Layered Queueing Networks (LQN) called PCM2LQN. PCM2LQN enables the use of efficient LQN solvers for performance analysis of component-based software designs modeled in PCM. It implements a mapping from PCM to LQN that bridges semantic gaps and integrates LQN solvers into the PCM modeling environment. A case study of a BRP system demonstrates generating an LQN from a PCM and comparing performance results between the two models.
Design of high speed adders for efficient digital design blocksBharath Chary
This document discusses the design of high-speed adders for efficient digital design blocks. It compares parallel-prefix adders like Kogge-Stone, Brent-Kung, Sklansky, and Kogge-Stone Ling adders. The Kogge-Stone Ling adder is found to perform most efficiently. Different tree adder structures are designed using CMOS logic and transmission gate logic and compared in terms of area, delay, and power consumption. Ling adders are analyzed, and it is shown that they reduce dependency on previous bit additions compared to other adders.
Optimized declarative transformation First Eclipse QVTc resultsEdward Willink
1) This document discusses the first results from Eclipse QVTc, which implements the declarative QVT Core (QVTc) specification for model transformations.
2) Optimization techniques like reducing multi-input mappings to single-input mappings with local loops, and analyzing dependencies between mappings to generate an efficient static schedule provided a 30x speedup over naive polling execution.
3) While more optimizations are still needed, particularly for QVT Relational (QVTr), this implementation demonstrates that declarative transformations can be efficiently executed by analyzing the graph of dependencies between mappings.
This document presents information on Programmable Logic Arrays (PLA). It defines a PLA as a type of programmable logic device used to implement combinational logic circuits. A PLA has programmable AND and OR gate planes that can be conditioned to produce outputs. The document provides the block diagram and internal construction of a PLA. It also gives examples of implementing logic functions in a PLA using a program table.
Computational fluid dynamics (CFD) is a set of numerical methods used to simulate fluid flow and heat transfer. CFD involves three main steps: pre-processing (defining the problem, governing equations, and boundary conditions), processing (solving the governing equations), and post-processing (validating results). The document provides examples of applying CFD to ventilation problems in tunnels, non-uniform flame distribution in boilers, and discusses pre- and post-processing software used like GAMBIT, FLUENT, and ParaView.
GraphConnect 2014 SF: Using a Graph Database to Ensure a Routable Road NetworkNeo4j
This document discusses map quality analysis (QA) checks performed by TomTom, including restricted access islands (RAIs). It provides details on Pieter Cailliau's background and experience. It also compares the RDBMS and Neo4j approaches to detecting RAIs, finding that Neo4j is faster and able to detect all violations without limitations.
The document describes 11 VLSI projects from 2015 presented by NEXGEN TECHNOLOGY. The projects include low-power clock generators, FFT architectures, error correcting codes, content addressable memories, charge pump converters, delta-sigma modulators, clock skew compensation circuits, obfuscated DSP circuits, scalar conversion for cryptoprocessors, reconfigurable controllers for synchronization, and level-converting retention flip-flops. NEXGEN TECHNOLOGY is located in Pondicherry, India and provides contact information including their website, address, email and phone.
Design and implementation of Closed Loop Control of Three Phase Interleaved P...IJMTST Journal
A single-phase, three-level, single-stage power-factor corrected AC/DC converter operated under closed
loop manner is presented. That operates with a single controller to regulate the output voltage and the input
inductor act as a boost inductor to have a single stage power factor correction with good output response. The
paper deals with a new single stage three level ac-dc converter which performs both power factor correction
and voltage regulation in a single stage. The proposed converter has two separate controllers, one for power
factor correction and the other for regulating the output voltage. A comprehensive review of the existing single
stage topologies has been carried out. Then the operating principle, control scheme and the design of the new
converter are presented. The proposed converter is having an input power factor close to unity and better
voltage regulation compared to the conventional ac-dc converter topologies. Proposed topology is evaluated
through Matlab/Simulink platform and simulation results are conferred.
This document describes a public transportation network as a weighted graph that can be used to find optimal paths between locations. It provides an example of finding the best route from origin L4-A to destination L6-A, listing the possible connections and their travel times.
Reed Solomon Coding For Error Detection and Correctioninventionjournals
This document discusses Reed-Solomon coding for error detection and correction. It provides an overview of Reed-Solomon codes, including that they are a type of linear block code well-suited for correcting burst errors. The encoding and decoding processes are described at a high-level, involving the generation and root-finding of polynomials over Galois fields. Applications mentioned include data storage, satellite communications, barcodes, and CD audio. In summary, the document provides a technical introduction to Reed-Solomon coding, the encoding and decoding algorithms, and common uses in digital communication and storage systems.
This document discusses Matlab-based major projects for electrical and computer engineering (ECE). It lists the major domains supported for ECE projects as microelectronics, control systems, electrical energy and power systems, microwave and communication systems, and sensing, imaging and signal processing. It also describes hardware techniques like code generation, FPGA programming, and interfacing Matlab with other software. Finally, it provides examples of major ECE applications developed using Matlab like wireless motor control systems and solar tracking systems.
This document discusses using MATLAB for embedded applications and hardware integration projects. It lists several ways MATLAB can be used to generate HDL code for FPGAs and ASICs, for image processing algorithms implemented in hardware, and for generating C/C++ code for embedded applications. It also discusses interfacing MATLAB with hardware like FPGAs, Android/iOS devices, and software like Multisim and LabVIEW. Common topics for MATLAB embedded projects include modeling gyroscopes, MOS transistors, wind turbines, motor drives, and batteries. Contact information is provided at the end.
This document provides an overview of Reed Solomon codes. It begins with the objectives to implement an encoder and decoder for Reed Solomon codes using MATLAB. It then introduces error control mechanisms like forward error correction and automatic repeat request. Various error detection and correction techniques are discussed, including Hamming codes and Reed Solomon codes. Reed Solomon codes are explained in detail, including how they are represented, encoded, and decoded to correct errors. Applications of Reed Solomon codes in storage, wireless communication, satellite, and digital television are also mentioned.
Maximize the possibilities of your LiDAR data with FME. Through demos, you’ll learn how to extract the full value of point clouds by quickly processing and combining them with other data sources. We’ll also show you real-world examples using LiDAR for 3D city modelling & viewshed analysis, with specific takeaways that can be applied to your own data. Plus, find out how to integrate command-line programs like LAStools into your FME workflow.
This document summarizes a research paper on designing a low power encoder for a threshold inverter quantization (TIQ) based flash analog-to-digital converter (ADC). The paper proposes using a fat tree encoder and TIQ comparators to achieve high speed and low power consumption. A 3-bit ADC was designed and simulated in 45nm CMOS technology. Simulation results showed the ADC has low power of 185nw, high speed of 6.5ps delay, and better performance compared to other encoder designs. The fat tree encoder and TIQ comparators allow the ADC to operate at high speeds while consuming low power, making it suitable for applications requiring both.
This document contains contact information for Candor Minds and a list of 29 codes describing VLSI and digital circuit design projects. The codes are grouped under categories such as High Speed, Low Power, Testing, and VLSI with MATLAB. Each code lists a title, brief 1-2 sentence description of the project. The document provides an overview of the types of projects available from Candor Minds in the areas of VLSI design, digital circuits, and DSP applications.
This document discusses parallel computing on GPUs using OpenCL. It provides an overview of basics of parallel computing, a brief history of SIMD and MIMD architectures, and details of OpenCL. It then describes a case study of using OpenCL and OpenMP to perform a Monte Carlo study of a spring-mass system. The study models the system, uses the Euler method for numerical integration, develops SIMD approaches for GPUs, implements OpenMP, analyzes results and speedup, and provides conclusions on parallelization.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
4 - Simulation and analysis of different DCT techniques on MATLAB (presented ...Youness Lahdili
This document discusses and compares different algorithms for implementing the Discrete Cosine Transform (DCT) in MATLAB. It first provides background on DCT and its importance in video compression. It then simulates and analyzes 4 DCT techniques: Chen form, Loeffler form, an 8x8 basic pattern form, and MATLAB's built-in dct2 function. For each, it measures performance metrics like MSE, PSNR, and speed. It finds that the Chen form has the fastest execution time and lowest MSE. While the basic pattern form may be improved, the built-in dct2 is the slowest. The document concludes DCT optimization is still needed and describes algorithms that could further improve speed without affecting output quality.
The document discusses applications and simulations of error correction coding (ECC) for multicast file transfer. It provides an overview of different ECC and feedback-based multicast protocols and evaluates their performance based on simulations. Reed-Solomon coding on blocks provided faster decoding times than on entire files, while tornado coding had the fastest decoding but required slightly more packets for reconstruction. Simulations of protocols like MFTP and MFTP/EC using network simulators showed that using ECC like Reed-Muller codes significantly improved performance over regular MFTP.
Slides from the Linux Conference Australia 2021 conference https://linux.conf.au/schedule/presentation/64/ .
Tempesta TLS is an implementation of TLS handshakes for the Linux kernel. Since the kernel already provides symmetric ciphers, we focus on asymmetric cryptography only, elliptic curves in particular.
Use used the mbed TLS library as the foundation and almost fully rewrote it to make is x40 faster. During our development we also use parts of WolfSSL library. While WolfSSL outperforms OpenSSL, it uses the same algorithms, which are 5-7 years of old. Tempesta TLS uses newer and more efficient algorithms from the modern cryptography research.
While we still improving performance of Tempesta TLS, the implementation already establishes 40-80% more TLS handshakes per second than OpenSSL/Nginx and provides up to x4 lower latency in several tests.
This talk covers following topics with plenty of benchmarks:
* The fundamentals of elliptic curve computations and the most "hot spots"
* Side channel attacks (SCA) and methods to prevent them
* How the recent CPU vulnerabilities impact TLS handshakes
* Basics of the new fast algorithms used in the Tempesta TLS
* The design trade offs in OpenSSL, WolfSSL, mbed TLS, and Tempesta TLS
Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...AMD Developer Central
Keynote presentation, Is There Anything New in Heterogeneous Computing, by Mike Muller, Chief Technology Officer, ARM, at the AMD Developer Summit (APU13), Nov. 11-13, 2013.
This document discusses fixed point and floating point digital signal processing. Fixed point represents numbers with a minimum of 16 bits in integer format, while floating point uses 32 bits with a mantissa and exponent. Fixed point has limitations like overflow that can be addressed through scaling. Floating point allows for larger dynamic ranges and is more suitable for applications involving changing coefficients. Both have comparable speed, resolution, and power consumption.
Computational fluid dynamics (CFD) is a set of numerical methods used to simulate fluid flow and heat transfer. CFD involves three main steps: pre-processing (defining the problem, governing equations, and boundary conditions), processing (solving the governing equations), and post-processing (validating results). The document provides examples of applying CFD to ventilation problems in tunnels, non-uniform flame distribution in boilers, and discusses pre- and post-processing software used like GAMBIT, FLUENT, and ParaView.
GraphConnect 2014 SF: Using a Graph Database to Ensure a Routable Road NetworkNeo4j
This document discusses map quality analysis (QA) checks performed by TomTom, including restricted access islands (RAIs). It provides details on Pieter Cailliau's background and experience. It also compares the RDBMS and Neo4j approaches to detecting RAIs, finding that Neo4j is faster and able to detect all violations without limitations.
The document describes 11 VLSI projects from 2015 presented by NEXGEN TECHNOLOGY. The projects include low-power clock generators, FFT architectures, error correcting codes, content addressable memories, charge pump converters, delta-sigma modulators, clock skew compensation circuits, obfuscated DSP circuits, scalar conversion for cryptoprocessors, reconfigurable controllers for synchronization, and level-converting retention flip-flops. NEXGEN TECHNOLOGY is located in Pondicherry, India and provides contact information including their website, address, email and phone.
Design and implementation of Closed Loop Control of Three Phase Interleaved P...IJMTST Journal
A single-phase, three-level, single-stage power-factor corrected AC/DC converter operated under closed
loop manner is presented. That operates with a single controller to regulate the output voltage and the input
inductor act as a boost inductor to have a single stage power factor correction with good output response. The
paper deals with a new single stage three level ac-dc converter which performs both power factor correction
and voltage regulation in a single stage. The proposed converter has two separate controllers, one for power
factor correction and the other for regulating the output voltage. A comprehensive review of the existing single
stage topologies has been carried out. Then the operating principle, control scheme and the design of the new
converter are presented. The proposed converter is having an input power factor close to unity and better
voltage regulation compared to the conventional ac-dc converter topologies. Proposed topology is evaluated
through Matlab/Simulink platform and simulation results are conferred.
This document describes a public transportation network as a weighted graph that can be used to find optimal paths between locations. It provides an example of finding the best route from origin L4-A to destination L6-A, listing the possible connections and their travel times.
Reed Solomon Coding For Error Detection and Correctioninventionjournals
This document discusses Reed-Solomon coding for error detection and correction. It provides an overview of Reed-Solomon codes, including that they are a type of linear block code well-suited for correcting burst errors. The encoding and decoding processes are described at a high-level, involving the generation and root-finding of polynomials over Galois fields. Applications mentioned include data storage, satellite communications, barcodes, and CD audio. In summary, the document provides a technical introduction to Reed-Solomon coding, the encoding and decoding algorithms, and common uses in digital communication and storage systems.
This document discusses Matlab-based major projects for electrical and computer engineering (ECE). It lists the major domains supported for ECE projects as microelectronics, control systems, electrical energy and power systems, microwave and communication systems, and sensing, imaging and signal processing. It also describes hardware techniques like code generation, FPGA programming, and interfacing Matlab with other software. Finally, it provides examples of major ECE applications developed using Matlab like wireless motor control systems and solar tracking systems.
This document discusses using MATLAB for embedded applications and hardware integration projects. It lists several ways MATLAB can be used to generate HDL code for FPGAs and ASICs, for image processing algorithms implemented in hardware, and for generating C/C++ code for embedded applications. It also discusses interfacing MATLAB with hardware like FPGAs, Android/iOS devices, and software like Multisim and LabVIEW. Common topics for MATLAB embedded projects include modeling gyroscopes, MOS transistors, wind turbines, motor drives, and batteries. Contact information is provided at the end.
This document provides an overview of Reed Solomon codes. It begins with the objectives to implement an encoder and decoder for Reed Solomon codes using MATLAB. It then introduces error control mechanisms like forward error correction and automatic repeat request. Various error detection and correction techniques are discussed, including Hamming codes and Reed Solomon codes. Reed Solomon codes are explained in detail, including how they are represented, encoded, and decoded to correct errors. Applications of Reed Solomon codes in storage, wireless communication, satellite, and digital television are also mentioned.
Maximize the possibilities of your LiDAR data with FME. Through demos, you’ll learn how to extract the full value of point clouds by quickly processing and combining them with other data sources. We’ll also show you real-world examples using LiDAR for 3D city modelling & viewshed analysis, with specific takeaways that can be applied to your own data. Plus, find out how to integrate command-line programs like LAStools into your FME workflow.
This document summarizes a research paper on designing a low power encoder for a threshold inverter quantization (TIQ) based flash analog-to-digital converter (ADC). The paper proposes using a fat tree encoder and TIQ comparators to achieve high speed and low power consumption. A 3-bit ADC was designed and simulated in 45nm CMOS technology. Simulation results showed the ADC has low power of 185nw, high speed of 6.5ps delay, and better performance compared to other encoder designs. The fat tree encoder and TIQ comparators allow the ADC to operate at high speeds while consuming low power, making it suitable for applications requiring both.
This document contains contact information for Candor Minds and a list of 29 codes describing VLSI and digital circuit design projects. The codes are grouped under categories such as High Speed, Low Power, Testing, and VLSI with MATLAB. Each code lists a title, brief 1-2 sentence description of the project. The document provides an overview of the types of projects available from Candor Minds in the areas of VLSI design, digital circuits, and DSP applications.
This document discusses parallel computing on GPUs using OpenCL. It provides an overview of basics of parallel computing, a brief history of SIMD and MIMD architectures, and details of OpenCL. It then describes a case study of using OpenCL and OpenMP to perform a Monte Carlo study of a spring-mass system. The study models the system, uses the Euler method for numerical integration, develops SIMD approaches for GPUs, implements OpenMP, analyzes results and speedup, and provides conclusions on parallelization.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
4 - Simulation and analysis of different DCT techniques on MATLAB (presented ...Youness Lahdili
This document discusses and compares different algorithms for implementing the Discrete Cosine Transform (DCT) in MATLAB. It first provides background on DCT and its importance in video compression. It then simulates and analyzes 4 DCT techniques: Chen form, Loeffler form, an 8x8 basic pattern form, and MATLAB's built-in dct2 function. For each, it measures performance metrics like MSE, PSNR, and speed. It finds that the Chen form has the fastest execution time and lowest MSE. While the basic pattern form may be improved, the built-in dct2 is the slowest. The document concludes DCT optimization is still needed and describes algorithms that could further improve speed without affecting output quality.
The document discusses applications and simulations of error correction coding (ECC) for multicast file transfer. It provides an overview of different ECC and feedback-based multicast protocols and evaluates their performance based on simulations. Reed-Solomon coding on blocks provided faster decoding times than on entire files, while tornado coding had the fastest decoding but required slightly more packets for reconstruction. Simulations of protocols like MFTP and MFTP/EC using network simulators showed that using ECC like Reed-Muller codes significantly improved performance over regular MFTP.
Slides from the Linux Conference Australia 2021 conference https://linux.conf.au/schedule/presentation/64/ .
Tempesta TLS is an implementation of TLS handshakes for the Linux kernel. Since the kernel already provides symmetric ciphers, we focus on asymmetric cryptography only, elliptic curves in particular.
Use used the mbed TLS library as the foundation and almost fully rewrote it to make is x40 faster. During our development we also use parts of WolfSSL library. While WolfSSL outperforms OpenSSL, it uses the same algorithms, which are 5-7 years of old. Tempesta TLS uses newer and more efficient algorithms from the modern cryptography research.
While we still improving performance of Tempesta TLS, the implementation already establishes 40-80% more TLS handshakes per second than OpenSSL/Nginx and provides up to x4 lower latency in several tests.
This talk covers following topics with plenty of benchmarks:
* The fundamentals of elliptic curve computations and the most "hot spots"
* Side channel attacks (SCA) and methods to prevent them
* How the recent CPU vulnerabilities impact TLS handshakes
* Basics of the new fast algorithms used in the Tempesta TLS
* The design trade offs in OpenSSL, WolfSSL, mbed TLS, and Tempesta TLS
Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...AMD Developer Central
Keynote presentation, Is There Anything New in Heterogeneous Computing, by Mike Muller, Chief Technology Officer, ARM, at the AMD Developer Summit (APU13), Nov. 11-13, 2013.
This document discusses fixed point and floating point digital signal processing. Fixed point represents numbers with a minimum of 16 bits in integer format, while floating point uses 32 bits with a mantissa and exponent. Fixed point has limitations like overflow that can be addressed through scaling. Floating point allows for larger dynamic ranges and is more suitable for applications involving changing coefficients. Both have comparable speed, resolution, and power consumption.
This document provides an overview of using the Rcpp package to integrate C++ with R code in order to improve performance. It discusses getting started with Rcpp, converting R functions to C++, attributes and classes in Rcpp, handling missing values, Rcpp Sugar for vectorization, using the Standard Template Library, and examples. The key points covered are how Rcpp allows embedding C++ code in R and compiling it to create faster R functions, as well as techniques like Rcpp Sugar and the STL that help write efficient C++ code for R.
The document discusses using programmable application-specific processors (ASIPs) as accelerators in system-on-chips instead of fixed-function accelerators. ASIPs offer flexibility through programmability while maintaining high performance. The document outlines how to design ASIPs using C-programmable datapaths and compiler tools. It provides examples of ASIP designs for wireless baseband algorithms like WLAN equalization and FFT that achieve performance comparable to hardwired accelerators.
The document discusses using programmable application-specific processors (ASIPs) as accelerators in system-on-chips instead of fixed-function accelerators. ASIPs offer flexibility through programmability while maintaining high performance. The document outlines how to design ASIPs using C-programmable datapaths and compiler tools. It provides examples of ASIP designs for wireless baseband algorithms like WLAN equalization and FFT that achieve performance comparable to hardwired accelerators.
The document describes an implementation of an LDPC decoder for IEEE 802.11n wireless networks using Vivado High-Level Synthesis. It implemented the decoder as a C program using Vivado HLS directives to optimize parallelism and throughput. The implementation achieved throughputs of over 1 Gbps and error correction performance comparable to an RTL implementation but with higher productivity due to the higher level of abstraction of C compared to RTL.
eProsima RPC over DDS - OMG June 2013 Berlin MeetingJaime Martin Losa
DDS is being increasingly selected as the foundation of many mission- and business-critical systems. Some of these systems are designed to be completely data-centric and asynchronous, while others prefer to maintain some interactions (such as placing an order, performing a computation, etc.) as traditional client/server, request/reply, interactions. As such, many DDS users would like to define Services as a collection of operations/methods, and invoke methods using DDS as the transport for requests, replies and exceptions.
This talk will introduce eProsima RPC for DDS, a high performance Remote Procedure Call framework based on DDS, 100% standards-based and open source.
Similar to Reed Solomon Matlab Simulink Projects Research Assistance (20)
This document discusses WiFi network simulator projects and tools. It lists several popular network simulators like NS-3, OPNET, Omnet++ and Qualnet that can be used for WiFi network simulation projects in MATLAB. It then provides examples of recent research topics conducted using WiFi network simulators, including energy efficient load balancing between LTE and WiFi networks and jamming-resistant frequency hopping in cognitive WiFi networks. Finally, it outlines some channel estimation models used in WiFi network simulator projects, such as energy optimization with delay sensitive traffic and transmit power adaptation in WiFi mesh networks for rescue operations.
This document discusses different types of network simulators that can be used in MATLAB. It lists several open-source simulators like NS-2, NS-3, Omnet++ and proprietary simulators like Qualnet and Opnet. It also mentions some current research projects using network simulation in areas like supercomputer networks, isolated power systems, rumor routing protocols and wireless applications. Finally, it provides examples of modern research topics involving areas like smart grids, mobile network simulation, caching systems and taxi dispatching.
Scilab is a free and open source software that can be used to solve many numerical and technical problems with just a few lines of code. It contains hundreds of mathematical and simulation functions across major areas like control systems, digital signal processing, and bio medical image processing. Some recent research projects that have used Scilab include analyzing ECG signal denoising using discrete wavelet transforms and studying wireless energy transfer in fading relay channels. For any questions, users can contact the tutorial providers via their website or phone number provided.
This document discusses thesis writing support using MATLAB code. It lists major domains where MATLAB is used like pattern recognition, artificial intelligence, digital signal processing, and neural networks. It offers services like plagiarism checking, proofreading, writing the abstract and literature survey, and implementation support for theses involving MATLAB code. Students can contact the website or phone number listed for assistance with their MATLAB-based theses.
This document discusses Thesis MATLAB code support for medical image processing and various research topics. It provides examples of MATLAB code projects for object detection, video processing, food dietary assessment, retinal analysis, and lung analysis. Recent code projects cover topics like mitosis detection in breast cancer images using deep learning, breast imaging using differential microwave techniques, hyperspectral image classification using manifold geometry and domain adaptation, image quality assessment using extreme learning machines and NMF, and tampering localization in digital forensics using maximal entropy random walks. Contact information is provided for technical support.
This document provides information on various student MATLAB projects in areas such as image processing, network security, steganography, watermarking, and cryptography. It lists common image processing projects like image and audio enhancement, digital music, image and speech recognition, and medical imaging. The document also discusses artificial neural network projects using MATLAB, including projects on balancing angle and area distortions, optimizing bezigons for clipart images, cell migration reconstruction and visualization, multivariate time-varying data visualization, and perception and Hebbian learning. It provides contact information for the MATLAB project guides.
The document discusses source code for Matlab projects available on a website. It lists categories of source code like vectors, matrices, and graphical functions. It then provides examples of source code project topics like techniques for graph layouts and eye tracking data visualization. Further, it lists recent high-tech project topics involving areas like virtual environments, data projection, graph algorithms, flow visualization, and regression analysis. It concludes by providing contact details for the website.
This document discusses small Matlab projects in various areas including biometric authentication using techniques like lip-print, finger vein, iris, palm print, and fingerprint authentication. It also lists some latest research topics that these small Matlab projects could cover, such as RNA-seq data quantification, muscle force-length modeling, landslide displacement prediction, depth map upsampling, and steerable catheter classification. Major research fields supported by the small Matlab projects include functional brain mapping, smartphone localization, compressed sensing, technology node modeling, and medical knowledge base construction. Contact details are provided at the end.
Simple MATLAB Projects for Students Research AssistanceMatlab Simulation
This document discusses simple MATLAB projects for students using Simulink. It describes modeling support, customizable block libraries, graphical editors, and automatic code generation for simulating bioinformatics, mechatronics, and electronics. It also discusses real-time simulation, code generation, signal processing, wireless systems, control systems, and state-based modeling toolboxes in Simulink. Example project topics highlighted include pointing and steering tasks with low latency, unsupervised feature learning with geometry representations, digital multiplexing with cluster-dot screens, and region-aware 3D warping for digital image-based rendering.
Scilab is an open source software for numerical computation and data processing. This document outlines several Scilab toolboxes and functions, modern research topics using Scilab, recent Scilab video tutorial projects, and contact information. Key toolboxes mentioned include the Particle Swarm optimization toolbox, Signal acquisition and instrument toolbox, Metanet graphs and network flow toolbox, and Artificial Neural Network Toolbox. Recent Scilab video tutorial projects highlighted detect air gap eccentricity in induction motors, remote mobile robot path planning, and fault diagnosis for medium voltage induction motors. Contact details are provided to learn more about Scilab video tutorials.
This document provides information on Scilab tutorial videos, including their uses in areas like neural networks, data mining, and control systems. Recent Scilab video projects discussed involve caching images, noise removal for lung cancer diagnosis, and automated cell segmentation. The document ends with contact information for the website providing Scilab tutorial videos.
Scilab is an open source software for modeling, computing, and simulation. The tutorial discusses Scilab's interface XCOS which allows for building and editing models, submodeling for reuse, and customizing blocks and palettes. It also supports simulation, code generation, and result visualization. Additional functionality covered includes basic operations, control, signal processing, and plotting astronomical data. Major supported areas are listed as LMI optimization, control, animations, instrument modeling, aerospace modeling, and more. Contact information is provided at the end.
Scilab is an open source software for numerical computation and programming that provides help and support for domains including wireless sensor networks, wireless communication, data mining, signal processing, and image processing. It also offers major applications support for digital signal processing tasks such as adaptive filtering, waveform quantization and compression, linear and circular convolution, and multirate signal processing. Additionally, Scilab provides programming help for notable research areas including computation offloading frameworks, lossy image compression using SVD coding, vehicle detection and classification using audio visual cues, multi-temporal fusion of CT images for liver cancer diagnosis, Gaussian filtering of compressively sensed images, and region-based multi-focus image fusion using spectral parameter variance.
The document discusses Scilab programming help and commands. It provides an overview of common Scilab commands like names, ans, what, who, and clear. It also lists recent Scilab programming projects involving topics like surface reconstruction, image segmentation, image registration, blind source separation, and image classification. Contact information is provided at the end for any additional Scilab programming help.
This document provides information about Scilab program help including strong concepts, programming functions, and recent research topics in Scilab. Some strong concepts discussed are image compression using multilevel thresholding, motion deblurring from a single image, and spatial domain color image enhancement. Programming functions covered include solving differential equations, matrices and vectors, plotting, and variables. Recent research topics mentioned are constant SNR predictive lossy hyper spectral image compression, computer aided skin lesion detection, open biplanar MRI using inverse boundary element method, and synthetic aperture imaging with thinned linear sensor arrays. Contact details are provided at the end.
The document discusses Scilab support and services provided by www.matlabsimulation.com, including Scilab installation support for various versions on Windows, Linux and Mac OS, Scilab toolboxes that provide additional functionality, and topics covered under the Scilab help project such as signal processing, image processing, and applications in fields like ground penetrating radar and telecommunications. Contact details are provided at the end.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
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For more information about PECB:
Website: https://pecb.com/
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Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
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How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Reed Solomon Matlab Simulink Projects Research Assistance
1. R E E D S O L O M O N
M A T L A B S I M U L I N K P R O J E C T S
www.matlabsimulation.com/reed-solomon-matlab-simulink-projects/
2. Topmost Techniques of Encoding & Decoding
Here are the list which developed under reed solomon matlab simulink projects,
Decoding by DFT
and also Error
Correction
Simple Encoding
Systematic
Encoding
Euclidean Decoder
Peterson-Gorenstein-
Zierler Decoder
DFT and also IDFT
3. Current Notions in Reed Solomon Matlab Projects
The refined functions of current ideas under reed solomon matlab simulink projects are listed below,
Secure Cloud-Fog
Integration also with
Repairable Errors
Multipath Multicast
File Transfer
T-Count Optimization RS
over Muller Codes
Reversible Data Hiding
also in Multi-Cloud
Environment
Visible Light
Communication also
by Multi-Level RS
Cauchy RS Coding via
ReRAM Crossbars
4. Uppermost of Transmission Circuit
Enumerate of the projects which used reed solomon matlab simulink projects are noted,
Error Rate
Calculator
Bit to Integer
Converter
Rectangular
Modulator
RS Encoder and
Decoder
Integer to Bit
Converter