Optimized Analog Mappings for Distributed Source-Channel Coding

This paper focuses on optimal analog mappings for zero-delay, distributed source-channel coding. The objective is to obtain the optimal vector transformations that map between m-dimensional source spaces and k-dimensional channel spaces, subject to a prescribed power constraint and assuming the mean...

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Veröffentlicht in:2010 Data Compression Conference S. 159 - 168
Hauptverfasser: Akyol, Emrah, Rose, Kenneth, Ramstad, Tor
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.03.2010
Schlagworte:
Algorithm design and analysis
Analog computers
Data compression
Data engineering
Delay
Distributed coding
Distributed computing
Iterative algorithms
Iterative decoding
joint source channel coding
Telecommunication computing
USA Councils
zero delay mappings
ISBN:1424464250, 9781424464258
ISSN:1068-0314
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Zusammenfassung:This paper focuses on optimal analog mappings for zero-delay, distributed source-channel coding. The objective is to obtain the optimal vector transformations that map between m-dimensional source spaces and k-dimensional channel spaces, subject to a prescribed power constraint and assuming the mean square error distortion measure. Closed-form necessary conditions for optimality of encoding and decoding mappings are derived. An iterative de- sign algorithm is proposed, which updates encoder and decoder mappings by sequentially enforcing the complementary optimality conditions at each iteration. The obtained encoding functions are shown to be a continuous relative of, and in fact subsume as a special case, the Wyner-Ziv mappings encountered in digital distributed source coding systems, by mapping multiple source intervals to the same channel interval. Example mappings and performance results are presented for Gaussian sources and channels.
ISBN:1424464250
9781424464258
ISSN:1068-0314
DOI:10.1109/DCC.2010.92