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Wednesday, December 2, 2020 | History

4 edition of Efficient Reed-Solomon decoding algorithms for digital signal processor based implementations found in the catalog.

Efficient Reed-Solomon decoding algorithms for digital signal processor based implementations

Stephen K. H. Tsui

Efficient Reed-Solomon decoding algorithms for digital signal processor based implementations

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  • 32 Currently reading

Published by National Library of Canada = Bibliothèque nationale du Canada in Ottawa .
Written in English


Edition Notes

SeriesCanadian theses = Thèses canadiennes
The Physical Object
FormatMicroform
Pagination2 microfiches : negative.
ID Numbers
Open LibraryOL14778063M
ISBN 100315784806
OCLC/WorldCa30357327

using a Rotated Head Array and LDPC Code Decoding," IEEE Transactions on Magnetics, 50(11), November 8. B. Yuan and K.K. Parhi, "Early Stopping Criteria for Energy-Efficient Low-Latency Belief-Propagation Polar Code Decoders," IEEE Transactions on Signal Processing, 62(24), pp. , Dec. 15, 1. Hee Jin Yang, Mi OK Kim, Kang Joo Kim and Y.B Cho, "Hardware design and implementation of digital frequency synthesiser using CORDIC algorithm", SOC Design Conference May Hee jin Yang, Min Hwan Song and Y.B Cho, "Hardware software co-design and implementation of MPEG-4 video decoder", SOC Design Conference May


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Efficient Reed-Solomon decoding algorithms for digital signal processor based implementations by Stephen K. H. Tsui Download PDF EPUB FB2

Code, Hamming code, Reed-Solomon code etc. Main focus in the master the-sis lies on decoding algorithms of Reed-Solomon code. Reed-Solomon code is widely used in CDs, DVDs, Blu-Ray, DSL, WiMAX or RAID 6. Reed-Solomon code was invented in [1]. The RS(n;k), where n denotes length of codeword, kdenotes number of data symbols and there.

Efficient Reed Solomon Decoder Based on pRiBM Algorithm for Effective Digital Signal Reception R. Shanmuga Priya1, A. Beno 2 1PG Scholar, VLSI Design, 2Assitant Professor, ECE Department, 1&2Dr. Sivanthi Aditanar College of Engineering, Tiruchendur.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper we reduce a class of algebraic equation systems to a rational curve-fitting problem by means of the Berlekamp-Massey algorithm, and present a novel algorithm to list all solutions in discrete space.

The proposed algorithm, when applied to list decoding of Reed-Solomon and BCH codes, • corrects up to 1. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—II: ANALOG AND DIGITAL SIGNAL PROCESSING, VOL. 47, NO. 11, NOVEMBER Algorithm-Based Low-Power/High-Speed Reed–Solomon Decoder Design Arun Raghupathy, Member, IEEE, and K.

Liu, Senior Member, IEEE Abstract— With the spread of Reed–Solomon (RS) codes to. Thus using techniques of linear algebra we obtain a parallel decoding algorithm for Reed-Solomon codes with an O(e) computational time complexity, where e is the number of errors which occurred. Reed–Solomon Decoding Algorithms for Digital Audio Broadcasting in the AM Band J.

Nicholas Laneman, Student Member, IEEE and Carl-Erik W. Sundberg, Fellow, IEEE Abstract— Digital audio broadcasting (DAB) systems for the AM band are being developed to provide higher-quality radio broadcasts, broader coverage, and data services.

Transmission is. Reed–Solomon codes are a group of error-correcting codes that were introduced by Irving S. Reed and Gustave Solomon in They have many applications, the most prominent of which include consumer technologies such as CDs, DVDs, Blu-ray discs, QR codes, data transmission technologies such as DSL and WiMAX, broadcast systems such as satellite communications, DVB and ATSC, and storage.

In this paper, the proposed work is to implement the encoder and decoder of Reed-Solomon (RS) coding scheme on the platform of VLSI using the Euclid’s algorithm.

Implementation will be done on VLSI Hardware Description Language (VHDL) and the operation and results can be seen on Field Programmable Gate Array (FPGA).

Fast Algorithms for Digital Signal Processing. Abstract. No abstract available. Interpolation in list decoding of Reed-Solomon codes, Problems of Information Transmission,Efficient Implementation Methodology of Fast FIR Filtering Algorithms on DSP, Journal of VLSI Efficient Reed-Solomon decoding algorithms for digital signal processor based implementations book Processing Systems, Implementation fabrics FPGA vs ASIC implementation 15 Final project presentation Texbook Digital Design an Embedded Systems Approach Using VERILOG, Peter J.

Ashenden, ISBN:Morgan Kaufmann, VLSI Digital Signal Processing Systems: Design and Implementation, Keshab K. Parhi, ISBN:Wiley,   Abstract: Soft decision decoding of Reed-Solomon codes can largely improve frame errors rates over currently used hard decision decoding.

In this paper, we present a new hardware implementation for soft decoding of Reed-Solomon codes based on information set decoding. To our best knowledge this is the first hardware implementation of information set decoding for long Reed-Solomon. Secure communication systems commonly use a Reed-Solomon code as one method of jam protection.

The importance of these codes is partly due to their superior error-correcting performance, but it is equally due to the availability of efficient decoding algorithms for them.

Y.-N. Chang and K.K. Parhi, "An Efficient Pipelined FFT Implementation", IEEE Trans. on Circuits and Systems: Part-II: Analog and Digital Signal Processing, Vol. 50(6), pp. June B.

Sahoo and K.K. Parhi, "A Low Power Correlator for CDMA Wireless Systems", Journal of VLSI Signal Processing, 35(1), pp.August An efficient method to perform Reed Solomon decoding is the Peteren-Gorenstein-Zierler (PGZ) algorithm. Digital signal processors of the TMSC DSP platform seek to exploit the data level and instruction level parallelism of algorithms by having multiple ALU units capable of working in tandem, to obtain extremely high levels of performance.

High throughput implementations. Most of the high throughput implementations of turbo decoders adopt parallel processing techniques.

An alternative approach exploited in [] is based on high radix processing techniques, where throughput is improved by handling multiple trellis stages per clock cycle. A radix modified Log-MAP algorithm is implemented in [] to achieve a maximum. The overall processing latency is reduced by almost 80% compared with the existing designs.

Second, we design a high-throughput LDPC decoder using layered and non-layered min-sum algorithm based on non-uniform quantization (NUQ) on an FPGA kit. A novel design and implementation of an online reconfigurable Viterbi decoder is proposed, based on an area-efficient add-compare-select (ACS) architecture, in which the constraint length and.

Efficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced significantly. Similarly, efficient algorithms are also critical to very large scale applications such as video processing and four-dimensional medical imaging.

The proposed algorithm possesses a recursive structure so that the number of cells for computing the errata locator polynomial can be reduced.

Moreover, in our approach, only one finite field multiplication per clock cycle is required for implementation, provided an improvement in the decoding speed. And the overall architecture features. García-Herrero F, Valls J and Meher P () High-Speed RS(, ) Decoder Based on LCC Decoding, Circuits, Systems, and Signal Processing,(), Online publication date: 1-Dec Little M Mathematical foundations of nonlinear, non-Gaussian, and time-varying digital speech signal processing Proceedings of the 5th.

In particular we will discuss the decoding of error-control codes as a problem in spectral estimation, and see how this viewpoint leads to the development of efficient decoder algorithms.

The Winograd FFT, a fast Berlekamp-Massey algorithm, and a time-domain Reed-Solomon decoder will be described. The Viterbi algorithm is employed in the decoding of TCM, as the modulator has memory and maximum likelihood sequence detection must thus be performed.

First, the most likely signal point in each partition is determined, i.e., we find the signal point in each sub-set that has the smallest Euclidean distance from the received signal. Digital Media Processing: DSP Algorithms Using C Hazarathaiah Malepati. Multimedia processing demands efficient programming in order to optimize functionality.

Data, image, audio, and video processing, some or all of which are present in all electronic devices today, are complex programming environments. Dsp - Digital Signal Processing With. Reed-Solomon allows the system to achieve this target BER with a lower transmitter output power.

The power "saving" given by Reed-Solomon (in decibels) is the coding gain. Architectures for encoding and decoding Reed-Solomon codes. Reed-Solomon encoding and decoding can be carried out in software or in special-purpose hardware.

Reed-Solomon (RS) codes can be found in many digital communication and storage systems. Recently, significant advancements have been made on algebraic soft-decision decoding (ASD) of RS codes. Among the ASD algorithms with practical multiplicity assignment scheme, the bit-level generalized minimum distance (BGMD) decoding algorithm can achieve similar or higher coding gain with lower.

Digital Signal Processing: Fundamentals and Applications, Third Edition, not only introduces students to the fundamental principles of DSP, it also provides a working knowledge that they take with them into their engineering careers.

Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. Recent Publications - Conferences: Sangho Yun, Gerald. Sobelman and Xiaofang Zhou, "A Low Complexity Floating-Point Complex Multiplier with a Three-term Dot-Product Unit," Proceeding, IEEE International Conference on Signal Processing, Communications and Computing, pp.

Jienan Chen, Lian Huai, Jianhao Hu and Gerald E. Sobelman, "High Performance MIMO Detector Based. RECONFIGURABLE SIGNAL PROCESSOR FOR CHANNEL CODING & DECODING IN LOW SNR WIRELESS COMMUNICATIONS Steve Halter†, Mats Öberg*, Paul M. Chau†, Paul H. Siegel* † ICAS Center, University of California, San Diego *Center for Wireless Communications, University of California, San Diego Abstract - An area and computational-time efficient turbo decoder.

processor-based platform. However, general-purpose processors or digital signal processors have limited computation speed due to the limited number of processing units available for parallel computation.

When higher computation speed is required, mixed hardware/software solutions are usually preferred. However, hardware design. This book presents the fundamentals of Digital Signal Processing using examples from common science and data, algorithms, techniques, or programs contained in this book are free from error, conform to any industry standard, or are suitable for any application.

Digital Signal Processors Chapter Getting Started with DSPs. The best implementation of the second step is the Moenck algorithm [8], that is also reproduced “A new algorithm for decoding Reed-Solomon codes,” In: Communications, Information and Network Security [10]Fast Algorithms for Digital Signal Processing.

Reading, Massachusetts: Addison-Wesley, A digital signal processor (DSP) is a specialized microprocessor chip, with its architecture optimized for the operational needs of digital signal processing. DSPs are fabricated on MOS integrated circuit chips. They are widely used in audio signal processing, telecommunications, digital image processing, radar, sonar and speech recognition systems, and in common consumer electronic devices.

Digital Signal Processing for Communication Systems examines the plans for the future and the progress that has already been made, in the field of DSP and its applications to communication systems. The book pursues the progression from communication and information theory through to the implementation, evaluation and performance enhancing of practical communication systems using.

~ Book Coding Theory Algorithms Architectures And Applications ~ Uploaded By Alexander Pushkin, coding theory algorithms architectures and applications provides a concise overview of channel coding theory and practice as well as the accompanying signal processing architectures the book is unique in presenting algorithms.

Computing Linear Algebra-based Algorithms in VLSI Recent developments in modern signal processing rely heavily on efficient manipulation of linear algebra-based algorithms.

Not only are the complexity and efficiency of the algorithms of great concern, but the numerical stability and parallel computation are also key factors.

Energy Efficient Adaptive Reed-Solomon Decoding System (ECC) scheme, based on the widely used Reed-Solomon algorithm, which will be implemented using a field programmable gate array (FPGA) device.

FPGAs have been adopted for use in wireless communication and digital signal processing (DSP) applications due to their ease of use when compared. Multimedia professionals, managers, and even advanced hobbyists will appreciate C++ Algorithms for Digital Signal Processing as much as students, engineers, and programmers.

It's the ideal bridge between programming and signal processing, and a valuable reference for experts in either s: Zhu and X. Zhang, “Efficient interpolation architecture for soft-decision Reed-Solomon decoding,” IEEE Workshop on Signal Processing Systems, pp.Oct.

Technical Report: General Purpose Graphics Processing Unit Based High-Rate Rice Decompression and Reed-Solomon Decoding. General Purpose Graphics Processing Unit Based High-Rate Rice Decompression and Reed-Solomon Decoding. Full Record; Other Related Research.

First, the implementation of the general Galois field multiplier is new and faster than previous implementations. Second, the circuit for implementing the Galois field inverse function has not appeared in prior art designs. reduction and evaluation of the polynomials involved in the correction of a Reed-Solomon code.

The circuit uses the. book. Signal Processing for 5G: Algorithms and Implementations. by Fa-Long Luo, Charlie Zhang A comprehensive and invaluable guide to 5G technology, implementation and practice in one single volume. For book.

Digital Signal Processing2nd Edition.Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc. Engineers who develop DSP applications today, and in the future, will need to address many implementation issues including mapping algorithms to computational Author: Winser Alexander, Cranos M Williams.J.

Zhu and X. Zhang, "Efficient interpolation architecture for soft-decision Reed-Solomon decoding," Proc. of IEEE Workshop on Signal Processing Systems, pp.Shanghai, China, Oct. X. Zhang and J. Zhu, "Low-complexity interpolation architecture for soft-decision Reed-Solomon decoding," Proc.

of IEEE International Symposium on.