Channel-Matched Hierarchical Table-Lookup Vector Quantization for Transmission of Video over Wireless Channels

Abstract

The authors propose a channel-matched hierarchical table-lookup vector quantizer (CM-HTVQ) which provides some robustness against the channel noise. They use a finite-state channel to model slow fading channels and propose an adaptive coding scheme to transmit a source over wireless channels. The performance of CM-HTVQ is in general slightly inferior to that of channel-optimized vector quantizer (COVQ) (the performances coincide in some cases); however, the encoder complexity of CM-HTVQ is much less than the encoder complexity of COVQ.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1997
Accession Number
ADA445877

Entities

People

  • Hamid Jafarkhani
  • Nariman Farvardin

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Channel State Information
  • Coders
  • Coding
  • Compression Ratio
  • Decoders
  • Decoding
  • Distortion
  • Electrical Engineering
  • Engineering
  • Information Operations
  • Markov Chains
  • Maryland
  • Probability
  • Sequences
  • Standards
  • Universities

Readers

  • Radio communications and signal processing.