A Fast Encoding Algorithm for Vector Quantization Using Difference Pyramid Structure

This paper proposed a fast vector quantization encoding algorithm called difference pyramid search (DPS). According to the formation of the difference pyramid and partial distortion elimination, a rejection test inequality is derived to progressively reject a lot of nonclosest code words as early as...

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Veröffentlicht in:IEEE transactions on communications Jg. 55; H. 12; S. 2245 - 2248
1. Verfasser: Lee, Chang-Hsing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.12.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0090-6778, 1558-0857
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Zusammenfassung:This paper proposed a fast vector quantization encoding algorithm called difference pyramid search (DPS). According to the formation of the difference pyramid and partial distortion elimination, a rejection test inequality is derived to progressively reject a lot of nonclosest code words as early as possible. Experimental results show that the proposed DPS algorithm outperforms other pyramid-based fast search algorithms, including mean pyramid search, L2-norm pyramid search, and mean-variance pyramid search.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2007.910599