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Coding for Wireless Channels (Information Technology: Transmission, Processing and Storage)
 
 
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Coding for Wireless Channels (Information Technology: Transmission, Processing and Storage) [Hardcover]

Ezio Biglieri (Author)

Price: $104.00 & this item ships for FREE with Super Saver Shipping. Details
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Book Description

Information Technology: Transmission, Processing and Storage May 24, 2005
Accessible introduction to the theoretical foundations of modern coding theory Including numerous applications to wireless transmission systems The author is famous in the field of coding and wireless communications for his work in the area of faded channels & communcations.

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From the Back Cover

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.

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Inside This Book (learn more)
First Sentence:
This book deals with coding in the signal space and with "soft" decoding. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
normal factor graph, stationary memoryless channel, error state diagram, turbo algorithm, asymptotic power efficiency, elementary constellation, extrinsic messages, scalar labels, pairwise error probability, maximum rate gain, minimal trellis, conventional trellis, ergodic capacity, linear binary code, asymptotic coding gain, fading gains, trellis section, code trellis, word error probability, trellis representation, turbo codes, fading channel, outage probability, spatial interference, channel state information
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Digital Transmission Principles, Areas Commun, Cambridge University Press, Kluwer Academic
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