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

Bozantzis, V, Ali, F H and Stipidis, E (2007) Joint Source-Adaptive Vector Quantisation and Index Assignment with Embedded Redundancy. IET Communications, 1 (5). pp. 1023-1030. ISSN 1751-8636

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Abstract

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.

Item Type: Article
Additional Information: 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.
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Falah Ali
Date Deposited: 06 Feb 2012 20:57
Last Modified: 02 Apr 2012 14:48
URI: http://sro.sussex.ac.uk/id/eprint/28859
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