DocumentCode :
892729
Title :
Geometric source coding and vector quantization
Author :
Fischer, Thomas R.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
35
Issue :
1
fYear :
1989
fDate :
1/1/1989 12:00:00 AM
Firstpage :
137
Lastpage :
145
Abstract :
A geometric formulation is presented for source coding and vector quantizer design. Motivated by the asymptotic equipartition principle, the authors consider two broad classes of source codes and vector quantizers: elliptical codes and quantizers based on the Gaussian density function, and pyramid codes and quantizers based on the Laplacian density function. Elliptical and weighted pyramid vector quantizers are developed by selecting codewords as points in a lattice that lie on (or near) a specified ellipse or pyramid. The combination of geometric structure and lattice basis allows simple encoding and decoding algorithms
Keywords :
data compression; encoding; Gaussian density function; Laplacian density function; asymptotic equipartition principle; data compression; decoding; elliptical codes; encoding; geometric formulation; pyramid codes; source coding; vector quantization; vector quantizers; Algorithm design and analysis; Clustering algorithms; Decoding; Encoding; Entropy; Iterative algorithms; Laplace equations; Lattices; Source coding; Vector quantization;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.42184
Filename :
42184
Link To Document :
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