Accession Number : ADA311599

Title :   Representation Issues in Signal Processing Applications.

Descriptive Note : Progress rept. 1 Jun 95-31 May 96,

Corporate Author : CALIFORNIA UNIV BERKELEY

Personal Author(s) : Zakhor, Avideh

PDF Url : ADA311599

Report Date : JUN 1996

Pagination or Media Count : 9

Abstract : We have developed an optimal bit allocation strategy for a joint source/channel video coded over noisy channel when the channel state is assumed to be known. Our approach is to partition source and channel coding bits in such a way that the expected distortion is minimized. The particular source coding algorithm we use is rate scalable and is based on 3D subband coding with multi-rate quantization. We have shown that using this strategy, transmission of video over very noisy channels still renders acceptable visual quality, and outperforms schemes that use equal error protection only. The flexibility of the algorithm also permits the bit allocation to be selected optimally when the channel state is in the form of a probability distribution instead of a deterministic state.

Descriptors :   *SIGNAL PROCESSING, *CODING, ALGORITHMS, PROBABILITY DISTRIBUTION FUNCTIONS, NOISE REDUCTION, VIDEO SIGNALS, CHANNELS, DETERMINANTS(MATHEMATICS).

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE