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02990nam a22004815i 4500 |
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978-1-4020-8084-5 |
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20151204160353.0 |
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100301s2005 xxu| s |||| 0|eng d |
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|a 9781402080845
|9 978-1-4020-8084-5
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|a 10.1007/b136517
|2 doi
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|a TEC041000
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|a 621.382
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|a Biglieri, Ezio.
|e author.
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|a Coding for Wireless Channels
|h [electronic resource] /
|c by Ezio Biglieri.
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|a Boston, MA :
|b Springer US,
|c 2005.
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|a XIV, 428 p. 206 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Information Technology: Transmission, Processing and Storage,
|x 1389-6938
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|a 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.
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|a 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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|a Engineering.
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|a Coding theory.
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|a Electrical engineering.
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|a Engineering.
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|a Communications Engineering, Networks.
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|a Coding and Information Theory.
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|a Signal, Image and Speech Processing.
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|a Electrical Engineering.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9781402080838
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|a Information Technology: Transmission, Processing and Storage,
|x 1389-6938
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|u http://dx.doi.org/10.1007/b136517
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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