MAP Decoding of Correlated Sources

Language: English

Published by LAP LAMBERT Academic Publishing Nov 2014, 2014

3659637432 / 9783659637438

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This item is printed on demand - it takes 3-4 days longer - Neuware -We consider the joint source-channel coding (JSCC) problem where the real valued outputs of two correlated memoryless Gaussian sources are scalar quantized, bit assigned, and transmitted, without applying any error correcting code, over a multiple access channel (MAC) which consists of two orthogonal point-to-point time-correlated Rayleigh fading sub-channels with soft-decision demodulation. At the receiver side, a joint sequence maximum a posteriori (MAP) detector is used to exploit the correlation between the two sources as well as the redundancy left in the quantizers' indices, the channel's soft-decision outputs, and noise memory. The MAC's sub-channels are modeled via non-binary Markov noise discrete channels recently shown to effectively represent point-to-point fading channels. Two scenarios are studied in this book. In the first scenario, the sources are memoryless and generated according to a bivariate Gaussian distribution with a given correlation parameter. In the second scenario, the sources have memory, captured by a changing correlation parameter which is governed by a two state first order Markov process. 184 pp. Englisch.…

Seller Inventory # 9783659637438

Title
MAP Decoding of Correlated Sources
Author
Seyed Parsa Beheshti
Publisher
LAP LAMBERT Academic Publishing Nov 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659637432
ISBN 13
9783659637438
Item weight
292 grams
Dimensions
220x150x12 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

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