Download or read book Efficient VLSI architectures for space time coding algorithms written by Georgios Passas and published by . This book was released on 2009 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Effient VLSI Architectures for Space Time Coding Algorithms written by Georgios Passas and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book High Performance High Speed VLSI Architectures for Wireless Communication Applications written by Zhipei Chi and published by . This book was released on 2001 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Efficient VLSI Architectures for Error Control Coders written by Sang-Min Kim and published by . This book was released on 2006 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Efficient VLSI Architectures for Algebraic Soft decision Decoding of Reed Solomon Codes written by Jiangli Zhu and published by . This book was released on 2011 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algebraic soft-decision decoding (ASD) algorithms of Reed-Solomon (RS) codes have attracted much interest due to their significant coding gain and polynomial complexity. Practical ASD algorithms include the Koetter-Vardy, low-complexity Chase (LCC) and bit-level generalized minimum distance (BGMD) decodings. This thesis focuses on the design of efficient VLSI architectures for ASD decoders. One major step of ASD algorithms is the interpolation. Available interpolation algorithms can only add interpolation points or increase interpolation multiplicities. However, backward interpolation, which eliminates interpolation points or reduces multiplicities, is indispensable to enable the re-using of interpolation results. In this thesis, a novel backward interpolation is first proposed for the LCC decoding through constructing equivalent Grbner bases. In the LCC decoding, 2 test vectors need to be interpolated over. With backward interpolation, the interpolation result for each of the second and later test vectors can be computed by only one backward and one forward interpolation iterations. Compared to the previous design, the proposed backward-forward interpolation scheme can lead to significant memory saving. To reduce the interpolation latency of the LCC decoding, a unified backward-forward interpolation is proposed to carry out both interpolations in a single iteration. With only 40percent area overhead, the proposed unified interpolation architecture can almost double the throughput when large is adopted. Moreover, a reduced-complexity multi-interpolator scheme is developed for the low-latency LCC decoding. The proposed backward interpolation is further extended to the iterative BGMD decoding. By reusing the interpolation results, at least 40 percent of the interpolation iterations can be saved for a (255, 239) code while the area overhead is small. Further speedup of the BGMD interpolation is limited by the inherent serial nature of the interpolation algorithm. In this thesis, a novel interpolation scheme that can combine multiple interpolation iterations is developed. Efficient architectures are presented to integrate the combined and backward interpolation techniques. A combined-backward interpolator of a (255, 239) code is implemented and can achieve a throughput of 440 Mbps on a Xilinx XC2V4000 FPGA device. Compared to the previous fastest implementation, our implementation can achieve a speedup of 64percent with 51percent less FPGA resource. The factorization is another major step of ASD algorithms. In the re-encoded LCC decoding, it is proved that the factorization step can be eliminated. Hence, the LCC decoder can be further simplified. In the reencoded ASD decoders, a re-encoder and an erasure decoder need to be added. These two blocks can take a significant proportion of the overall decoder area and may limit the achievable throughput. An efficient re-encoder design is proposed by computing the erasure locator and evaluator through direct multiplications and reformulating other involved computations. When applied to a (255, 239) code, our re-encoder can achieve 82percent higher throughput than the previous design with 11percent less area. With minor modifications, the proposed design can also be used to implement erasure decoder. After applying available complexity-reducing techniques, complexity comparisons for three practical ASD decoders were carried out. It is derived that the LCC decoder can achieve similar or higher coding gain with lower complexity for high-rate codes. This thesis also provides discussions on how the hardware complexities of ASD decoders change with codeword length, code rate and other parameters.

Download or read book Algorithms and Parallel VLSI Architectures III written by M. Moonen and published by Elsevier. This book was released on 1995-03-16 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of the current evolution of research in algorithms, architectures and compilation for parallel systems is provided by this publication. The contributions focus specifically on domains where embedded systems are required, either oriented to application-specific or to programmable realisations. These are crucial in domains such as audio, telecom, instrumentation, speech, robotics, medical and automotive processing, image and video processing, TV, multimedia, radar and sonar. The book will be of particular interest to the academic community because of the detailed descriptions of research results presented. In addition, many contributions feature the "real-life" applications that are responsible for driving research and the impact of their specific characteristics on the methodologies is assessed. The publication will also be of considerable value to senior design engineers and CAD managers in the industrial arena, who wish either to anticipate the evolution of commercially available design tools or to utilize the presented concepts in their own R&D programmes.

Download or read book VLSI Architectures For Soft Decision Decoding Of Reed Solomon Codes written by Jiangli Zhu and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Error-correcting coding has become one integral part in nearly all the modern data transmission and storage systems. Due to the powerful error-correcting capability, Reed-Solomon (RS) codes are among the most extensively used error-correcting codes with applications in wireless communications, deep-space probing, magnetic and optical recording, and digital television. Traditional hard-decision decoding (HDD) algorithms of RS codes can correct as many symbol errors as half the minimum distance of the code. Recently, much attention has been paid to algebraic soft-decision decoding (ASD) algorithms of RS codes. These algorithms incorporate channel probabilities into an algebraic interpolation process. As a result, significant coding gain can be achieved with a complexity that is polynomial in codeword length. Practical ASD algorithms include the Koetter-Vardy, low-complexity Chase (LCC) and bit-level generalized minimum distance (BGMD) decodings. This book focuses on the design of efficient VLSI architectures for ASD decoders.

Download or read book VLSI Architectures for Modern Error Correcting Codes written by Xinmiao Zhang and published by CRC Press. This book was released on 2017-12-19 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Error-correcting codes are ubiquitous. They are adopted in almost every modern digital communication and storage system, such as wireless communications, optical communications, Flash memories, computer hard drives, sensor networks, and deep-space probing. New-generation and emerging applications demand codes with better error-correcting capability. On the other hand, the design and implementation of those high-gain error-correcting codes pose many challenges. They usually involve complex mathematical computations, and mapping them directly to hardware often leads to very high complexity. VLSI Architectures for Modern Error-Correcting Codes serves as a bridge connecting advancements in coding theory to practical hardware implementations. Instead of focusing on circuit-level design techniques, the book highlights integrated algorithmic and architectural transformations that lead to great improvements on throughput, silicon area requirement, and/or power consumption in the hardware implementation. The goal of this book is to provide a comprehensive and systematic review of available techniques and architectures, so that they can be easily followed by system and hardware designers to develop en/decoder implementations that meet error-correcting performance and cost requirements. This book can be also used as a reference for graduate-level courses on VLSI design and error-correcting coding. Particular emphases are placed on hard- and soft-decision Reed-Solomon (RS) and Bose-Chaudhuri-Hocquenghem (BCH) codes, and binary and non-binary low-density parity-check (LDPC) codes. These codes are among the best candidates for modern and emerging applications due to their good error-correcting performance and lower implementation complexity compared to other codes. To help explain the computations and en/decoder architectures, many examples and case studies are included. More importantly, discussions are provided on the advantages and drawbacks of different implementation approaches and architectures.

Download or read book Algorithms and Parallel VLSI Architectures Tutorials written by Ed. F. Deprettere and published by Elsevier Publishing Company. This book was released on 1991 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this first volume of Algorithms and Parallel VLSI Architectures are collected 21 lectures and tutorials which have been presented at the above mentioned Workshop. A companion volume entitled Algorithms and Parallel VLSI Architectures Volume B - Proceedings contains a further 50 proceedings papers. There has been a growing interest in the interplay between the development of algorithms and the design of architectures. Recent developments in VLSI technology combined with increasing insight into the theoretical basis of numerical computations has led to an increasing demand for VLSI Algorithms for the sake of the vast application potentialities in real-time signal and image processing, space-time critical scientific computations and other large and structured problems. The lectures and tutorials which are included in this volume elaborate and illustrate such mutual influences between theoretical results and their algorithmic and architectural representations and implementations. The papers present some intriguing results from recent developments in the areas of network theory and linear algebra.

Download or read book VLSI Architectures for Future Video Coding written by Maurizio Martina and published by Institution of Engineering and Technology. This book was released on 2019-10-07 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses future video coding from the perspective of hardware implementation and architecture design, with particular focus on approximate computing and the energy-quality scalability paradigm. Challenges in deploying VLSI architectures for video coding are identified and potential solutions postulated with reference to recent research in the field. The book offers systematic coverage of the designs, techniques and paradigms that will most likely be exploited in the design of VLSI architectures for future video coding systems. Written by a team of expert authors from around the world, and brought together by an editor who is a recognised authority in the field, this book is a useful resource for academics and industry professionals working on VLSI implementation of video codecs.

Download or read book Algorithms Complexity Analysis and VLSI Architectures for MPEG 4 Motion Estimation written by Peter M. Kuhn and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: MPEG-4 is the multimedia standard for combining interactivity, natural and synthetic digital video, audio and computer-graphics. Typical applications are: internet, video conferencing, mobile videophones, multimedia cooperative work, teleteaching and games. With MPEG-4 the next step from block-based video (ISO/IEC MPEG-1, MPEG-2, CCITT H.261, ITU-T H.263) to arbitrarily-shaped visual objects is taken. This significant step demands a new methodology for system analysis and design to meet the considerably higher flexibility of MPEG-4. Motion estimation is a central part of MPEG-1/2/4 and H.261/H.263 video compression standards and has attracted much attention in research and industry, for the following reasons: it is computationally the most demanding algorithm of a video encoder (about 60-80% of the total computation time), it has a high impact on the visual quality of a video encoder, and it is not standardized, thus being open to competition. Algorithms, Complexity Analysis, and VLSI Architectures for MPEG-4 Motion Estimation covers in detail every single step in the design of a MPEG-1/2/4 or H.261/H.263 compliant video encoder: Fast motion estimation algorithms Complexity analysis tools Detailed complexity analysis of a software implementation of MPEG-4 video Complexity and visual quality analysis of fast motion estimation algorithms within MPEG-4 Design space on motion estimation VLSI architectures Detailed VLSI design examples of (1) a high throughput and (2) a low-power MPEG-4 motion estimator. Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation is an important introduction to numerous algorithmic, architectural and system design aspects of the multimedia standard MPEG-4. As such, all researchers, students and practitioners working in image processing, video coding or system and VLSI design will find this book of interest.

Download or read book VLSI Algorithms and Architectures written by N. Ranganathan and published by . This book was released on 1993 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book VLSI Architectures for Real time Recursive State space Filtering written by Jin Yun Zhang and published by . This book was released on 1991 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Signal Processing Systems written by Shuvra S. Bhattacharyya and published by Springer Science & Business Media. This book was released on 2013-06-20 with total page 1395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Signal Processing Systems is organized in three parts. The first part motivates representative applications that drive and apply state-of-the art methods for design and implementation of signal processing systems; the second part discusses architectures for implementing these applications; the third part focuses on compilers and simulation tools, describes models of computation and their associated design tools and methodologies. This handbook is an essential tool for professionals in many fields and researchers of all levels.

Download or read book Research in Progress written by and published by . This book was released on 1988 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Energy Efficient VLSI Architectures for Real Time and 3D Video Processing written by Michael Stefano Fritz Schaffner and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Area and Energy Efficient VLSI Architectures for Low density Parity check Decoders Using an On the fly Computation written by Kiran Kumar Gunnam and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The VLSI implementation complexity of a low density parity check (LDPC) decoder is largely influenced by the interconnect and the storage requirements. This dissertation presents the decoder architectures for regular and irregular LDPC codes that provide substantial gains over existing academic and commercial implementations. Several structured properties of LDPC codes and decoding algorithms are observed and are used to construct hardware implementation with reduced processing complexity. The proposed architectures utilize an on-the-fly computation paradigm which permits scheduling of the computations in a way that the memory requirements and re-computations are reduced. Using this paradigm, the run-time configurable and multi-rate VLSI architectures for the rate compatible array LDPC codes and irregular block LDPC codes are designed. Rate compatible array codes are considered for DSL applications. Irregular block LDPC codes are proposed for IEEE 802.16e, IEEE 802.11n, and IEEE 802.20. When compared with a recent implementation of an 802.11n LDPC decoder, the proposed decoder reduces the logic complexity by 6.45x and memory complexity by 2x for a given data throughput. When compared to the latest reported multi-rate decoders, this decoder design has an area efficiency of around 5.5x and energy efficiency of 2.6x for a given data throughput. The numbers are normalized for a 180nm CMOS process. Properly designed array codes have low error floors and meet the requirements of magnetic channel and other applications which need several Gbps of data throughput. A high throughput and fixed code architecture for array LDPC codes has been designed. No modification to the code is performed as this can result in high error floors. This parallel decoder architecture has no routing congestion and is scalable for longer block lengths. When compared to the latest fixed code parallel decoders in the literature, this design has an area efficiency of around 36x and an energy efficiency of 3x for a given data throughput. Again, the numbers are normalized for a 180nm CMOS process. In summary, the design and analysis details of the proposed architectures are described in this dissertation. The results from the extensive simulation and VHDL verification on FPGA and ASIC design platforms are also presented.