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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Xinmiao Zhang received her Ph.D in electrical engineering from the University of Minnesota, Twin Cities, USA. She is currently an Associate Professor in the Department of Electrical and Computer Engineering at The Ohio State University. Previously, she was a Timothy E. and Allison L. Schroeder Associate Professor at Case Western Reserve University, Cleveland, Ohio. Between her academic positions, she continued her research on error-correcting codes at SanDisk/Western Digital Corporation. She has also been a visiting professor at Qualcomm and spent her sabbatical leave at the University of Washington, Seattle, USA. Her research focuses on VLSI architecture design for communications, digital signal processing, and cryptography. She is a recipient of the National Science Foundation Faculty Early Career Development (CAREER) Award.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Artikel-Nr. 390362485
Anzahl: 3 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Xinmiao Zhang received her Ph.D in electrical engineering from the University of Minnesota, Twin Cities, USA. She is currently an Associate Professor in the Department of Electrical and Computer Engineering at The Ohio State University. Previously, she w. Artikel-Nr. 594600575
Anzahl: Mehr als 20 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 410 pages. 9.21x6.14x1.02 inches. In Stock. Artikel-Nr. zk0367738031
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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. Artikel-Nr. 9780367738037
Anzahl: 2 verfügbar