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Optimal bit allocation for universal fixed-rate vector quantization

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2 Author(s)
Kanlis, A. ; Found. for Res. & Technol., Inst. of Comput. Sci., Crete, Greece ; Narayan, P.

We investigate the performance of a mismatched fixed-rate lossy code which is designed for a source different from the “true” source. The notion of rate-distortion discrepancy between two pmf's is shown to provide a lower bound for the expected excess rate due to mismatch for every fixed-rate code. This notion is used to study the problem of optimal rate allocation for the descriptions of source statistics and data in a two-stage universal vector quantisation scheme

Published in:

Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on

Date of Conference:

16-21 Aug 1998