Coding for Wireless Channels

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 co...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Biglieri, Ezio (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2005.
Σειρά:Information Technology: Transmission, Processing and Storage,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Coding for Wireless Channels  |h [electronic resource] /  |c by Ezio Biglieri. 
264 1 |a Boston, MA :  |b Springer US,  |c 2005. 
300 |a XIV, 428 p. 206 illus.  |b online resource. 
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490 1 |a Information Technology: Transmission, Processing and Storage,  |x 1389-6938 
505 0 |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. 
520 |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. 
650 0 |a Engineering. 
650 0 |a Coding theory. 
650 0 |a Electrical engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Coding and Information Theory. 
650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Electrical Engineering. 
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776 0 8 |i Printed edition:  |z 9781402080838 
830 0 |a Information Technology: Transmission, Processing and Storage,  |x 1389-6938 
856 4 0 |u http://dx.doi.org/10.1007/b136517  |z Full Text via HEAL-Link 
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950 |a Engineering (Springer-11647)