Codes and turbo codes
Springer Science & Business Media, Jan 27, 2011 - Computers - 400 pages
This book is devoted to one of the essential functions of modern telecommunications systems: channel coding or error correction coding. Its main topic is iteratively decoded algebraic codes, convolutional codes and concatenated codes.
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Chapter 2 Digital communications
Chapter 3 Theoretical limits
Chapter 4 Block codes
Chapter 5 Convolutional codes and their decoding
Chapter 6 Concatenated codes
Chapter 7 Convolutional turbo codes
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amplitude architecture associated BCH code binary error binary symbols binary symmetric channel block code calculated check matrix coded modulation codeword coding rate coefficients column complexity computation concatenated code convergence convolutional codes decoding algorithm defined denoted density dmin double-binary encoder equation error probability error rate example extrinsic information Figure filter frequency function Galois field Gaussian channel Hamming code Hamming distance IEEE Transactions implementation Information Theory input decoding instant interleaving iterative decoding LDPC codes linear linear code low-density parity-check codes M-QAM maximum metrics minimum distance MMSE turbo equalization modulated signal node noise ratio non-recursive obtained optimal output parallel concatenation parameters parity check matrix performance permutation possible priori Proceedings of IEEE product code received recursive systematic redundancy rows RTZ sequences signal to noise spectral systematic code transmitted trellis turbo codes turbo decoding values variable vector Viterbi algorithm weight word zero