Principles of Digital Transmission (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
855
Utgivningsdatum
1999-07-01
Upplaga
1999 ed.
Förlag
Kluwer Academic/Plenum Publishers
Medarbetare
Biglieri, Ezio
Illustrationer
XIX, 855 p.
Dimensioner
235 x 160 x 43 mm
Vikt
1280 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9780306457531

Principles of Digital Transmission

With Wireless Applications

av Sergio Benedetto, Ezio Biglieri
Inbunden,  Engelska, 1999-07-01
3659
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Principles of Digital Transmission is designed for advanced undergraduate and graduate level students and professions in telecommunications. Teachers and learners can mix and match chapters to create four distinct courses: (1) a one-term basic course in digital communications; (2) a one-term course in advanced digital communications; (3) a one-term course in information theory and coding; (4) a two-term course sequence in digital communications and coding. The book provides rigorous mathematical tools for the analysis and design of digital transmission systems. The authors emphasize methodology in their aim to teach the reader how to do it rather than how it is done. They apply the fundamental tools of the discipline onto a number of systems, such as wireless data transmission systems.
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Sergio Benedetto, Ezio Biglieri

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From the preface: `... we hope that those who liked the previous book will find again its flavor here, while new readers, untouched by nostalgia, will judge it favorably.'

Innehållsförteckning

and motivation.- A mathematical introduction.- Basic results from information theory.- Waveform transmission over the Gaussian Channel.- Digital modulation schemes.- Modulations for the wireless channel.- Intersymbol interference channels.- Adaptive receivers and channel equalization.- Carrier and clock synchronization.- Improving the transmission reliability: Block codes.- Convolutional and concatenated codes.- Coded modulation.- Digital transmission over fading channels.- Digital transmission over nonlinear channels.- Useful formulas and approximations.- Some facts from matrix theory.- Variational techniques and constrained optimization.- Transfer functions of directed graphs.- Approximate computation of averages.- Viterbi algorithm.

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