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Coding for Wireless Channels: Information Technology: Transmission, Processing and Storage

Autor Ezio Biglieri
en Limba Engleză Hardback – 24 mai 2005
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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Specificații

ISBN-13: 9781402080838
ISBN-10: 1402080832
Pagini: 441
Ilustrații: XIV, 428 p. 206 illus.
Dimensiuni: 178 x 254 x 35 mm
Greutate: 1.08 kg
Ediția:2005
Editura: Springer Us
Colecția Springer
Seria Information Technology: Transmission, Processing and Storage

Locul publicării:New York, NY, United States

Public țintă

Graduate

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Focuses on the basic principles underlying code design Unifies topics of coding theory and wireless communications Coverage of space-time codes and multiple-antenna systems Includes supplementary material: sn.pub/extras