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Joint Source-Adaptive Vector Quantisation and Index Assignment with Embedded Redundancy

journal contribution
posted on 2023-06-08, 08:20 authored by V Bozantzis, Falah AliFalah Ali, E Stipidis
A new vector encoder-decoder (VED) design that is jointly adaptive to source statistics and optimised for noisy channels is proposed. The vector encoder consists of a source-adaptive vector quantiser (AVQ) and a structured index assignment with embedded redundancy (IAER) scheme to provide error-protection capability for noisy channels. The AVQ and IAER processes are combined together resulting in a very effective source-adaptive and channel-optimised VED design. The joint algorithm is designed and evaluated for the non-stationary Wiener process, modelling the source, and for two noisy channels, the binary symmetric channel and the more practical wireless flat-fading Rayleigh channel. It is shown that the proposed technique gives substantial signal-to-noise ratio gains over the separate design of the source AVQ and the IAER in both channel conditions without any additional online computational complexity. In addition, it is suitable for different applications of varying source and channel environments.

History

Publication status

  • Published

Journal

IET Communications

ISSN

1751-8636

Issue

5

Volume

1

Page range

1023-1030

Pages

8.0

Department affiliated with

  • Engineering and Design Publications

Notes

The paper describes a novel vector encoder-decoder design that is jointly adaptive to changing source statistics and optimised for different noisy channel conditions. The vector encoder consists of a source-adaptive vector quantiser and a structured index assignment scheme with embedded redundancy to provide error-protection capability. The combined design is shown to be very effective achieving substantial signal-to-noise ratio gains in both binary-symmetric-channel and practical wireless fading environment. Its suitable for low bit-rate applications and can be incorporated within wireless video coding standards. Industrial and academic collaborator, Prof G. Markarian, Lancaster University and Rinicom-ltd, garik@rinicom.com, specialises in wireless video surveillance.

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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