Coding for wireless channels / Ezio Biglieri.
Material type:
TextSeries: Information technology--transmission, processing, and storagePublication details: New York : Springer, 2005.Description: xiv, 427 p. : ill. ; 26 cmISBN: - 1402080832 (alk. paper)
- 1402080840 (e-book)
- TK5102.92 .B57 2005
| Item type | Current library | Call number | Copy number | Status | Barcode | |
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| Books | Library First Floor | TK5102.92 .B57 2005 (Browse shelf(Opens below)) | 1 | Available | 8931 |
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| TK5102.9 .S83 2021 Digital signal processing: an introduction / | TK5102.9 .T365 2008 Digital signal processing : fundamentals and applications / | TK5102.9 .W37 2014 DSP integrated circuits / | TK5102.92 .B57 2005 Coding for wireless channels / | TK5102.92 .H36 2002 Turbo coding turbo equalisation and space- time coding for transmission over fading channels / | TK5102.92 .H36 2002 Turbo coding turbo equalisation and space- time coding for transmission over fading channels / | TK5102.92 .H74 2011 Schaum's outline of theory and problems of signals and systems / |
Includes bibliographical references and index.
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.- Appendix A. Facts from information theory.- Appendix B. Facts from matrix theory.- Appendix C. Random variables, vectors, and matrices.- Appendix D. Computation of error probabilities.
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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