Representation Issues in Signal Processing Applications.

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.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1996
Accession Number
ADA311599

Entities

People

  • Avideh Zakhor

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Channel Coding
  • Distortion
  • Mathematics
  • Probability
  • Probability Distributions
  • Signal Processing

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computer Vision.
  • Radio communications and signal processing.