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Lagrangian global optimization of two-description scalar quantizers | IEEE Conference Publication | IEEE Xplore

Lagrangian global optimization of two-description scalar quantizers


Abstract:

We develop an efficient Lagrangian-type algorithm for optimal two-description fixed-rate scalar quantizer design, for a very large class of distortion measures. Our key r...Show More

Abstract:

We develop an efficient Lagrangian-type algorithm for optimal two-description fixed-rate scalar quantizer design, for a very large class of distortion measures. Our key result is the discovery that the Lagrangian multiplier for the globally optimal solution exists. Although Lagrangian optimization is a method of choice for quantizer design, none of the previous algorithms using this method was shown to guarantee the global optimality for any instance of the problem
Date of Conference: 27 June 2004 - 02 July 2004
Date Added to IEEE Xplore: 10 January 2005
Print ISBN:0-7803-8280-3
Conference Location: Chicago, IL, USA

References

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