Fixed-rate successively refinable scalar quantizers

Hugh Brunk, Nariman Farvardin

Research output: Contribution to journalConference articlepeer-review

26 Scopus citations

Abstract

The problem of successively refinable scalar quantizer design is considered. The weighted average of the expected distortion at each level of refinement is used as a quantizer figure of merit. Quantizers designed using this criterion can find application in many practical situations. Algorithms are presented for the design of both uniform and non-uniform quantizers and performance of quantizers designed for several sources using these algorithms is presented and compared with the performance of other scalar quantizers.

Original languageEnglish
Pages (from-to)250-259
Number of pages10
JournalData Compression Conference Proceedings
StatePublished - 1996
EventProceedings of the 1996 Data Compression Conference, DCC'96 - Snowbird, UT, USA
Duration: 31 Mar 19963 Apr 1996

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