Coding for Wireless Channels
Coding for Wireless Channels is an accessible introduction to the theoretical foundations of modern coding theory, with applications to wireless transmission systems. State-of-the-art coding theory is explained using soft (maximum-likelihood) decoding rather than algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are also covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section is devoted to multiple-antenna systems and space-time codes. The author assumes that the reader has a firm grasp of the concepts usually presented in senior-level courses on digital communications, information theory, and random processes.
Coding for Wireless Channels will serve as an advanced text for undergraduate and graduate level courses and as a reference for professionals in telecommunications.
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Channel models for digital transmission 19
Coding in a signal space
Trellis representation of codes 125
Codes on graphs 235
LDPC and turbo codes
Facts from information theory 383
Shannon theorem on channel capacity
Facts from matrix theory
Random variables vectors and matrices
Notations and acronyms