Results 231 to 240 of about 1,926,748 (272)
Some of the next articles are maybe not open access.

A General Method for Channel Coding

IBM Journal of Research and Development, 1980
A procedure is described for constructing minimum delay codes for discrete noiseless channels. The method is based on a simple recursive algorithm for finding a set of coding paths.
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Channel Codes

2009
Channel coding lies at the heart of digital communication and data storage, and this detailed introduction describes the core theory as well as decoding algorithms, implementation details, and performance analyses. In this book, Professors Ryan and Lin provide clear information on modern channel codes, including turbo and low-density parity-check (LDPC)
William Ryan, Shu Lin
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Channel coding and space-time coding for wireless channels [PDF]

open access: possible, 2000
This thesis is based on the research of channel coding. First, we give an introduction to the family of conventional Bose-Chauduri-Hocquenghem (BCH) codes, characterising the performance of various BCH codes. Then we further our research into turbo codes employing BCH codes as the component codes.
openaire  

Nonlinear Transform Source-Channel Coding for Semantic Communications

IEEE Journal on Selected Areas in Communications, 2022
Ping Zhang, Jincheng Dai, Wang Sixian
exaly  

Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Wei Chen, Bo Ai, Miguel Rodrigues
exaly  

Channel Codes

Channel coding lies at the heart of digital communication and data storage. Fully updated, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses.
William E. Ryan   +2 more
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Channel coding

2022
Wenhong Chen   +3 more
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Coding for Optical Channels

2010
Ivan B. Djordjevic   +2 more
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CHANNEL CODING AND MODULATION

2022
LIANG CHULONG   +5 more
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Channel coding

2016
This book deals with the subject of channel coding and forward error correction techniques, providing a complete, but introductory, overview on modern coding/decoding techniques, as well as on the theoretical bases on which they lay. It is meant for master degree students with a background in both probability and communication techniques.
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