Biglieri, Ezio. <br/><br/>
Coding for Wireless Channels  [electronic resource] / 
by Ezio Biglieri. 
 - 1st ed. 2005. 
 - XIV, 428 p. 206 illus.  online resource. 
 - Information Technology: Transmission, Processing and Storage,  1866-6361 .
 - Information Technology: Transmission, Processing and Storage, .
<br/><br/>Tour d’horizon -- Channel models for digital transmission -- Coding in a signal space -- Fading channels -- Trellis representation of codes -- Coding on a trellis: Convolutional codes -- Trellis-coded modulation -- Codes on graphs -- LDPC and turbo codes -- Multiple antennas -- Facts from information theory -- Facts from matrix theory -- Random variables, vectors, and matrices -- Computation of error probabilities. 
<br/><br/> 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 & as a reference for professionals in telecommunications. 
<br/><br/><label>ISBN: </label>9781402080845 
<br/><br/><label>Standard No.: </label>10.1007/b136517  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Telecommunication.<br/>Coding theory.<br/>Information theory.<br/>Signal processing.<br/>Electrical engineering.<br/>Communications Engineering, Networks.<br/>Coding and Information Theory.<br/>Signal, Speech and Image Processing .<br/>Electrical and Electronic Engineering.
<br/><br/><label>LC Class. No.: </label>TK5101-5105.9 
<br/><br/><label>Dewey Class. No.: </label>621.382