DocumentCode
2623450
Title
Conditional entropy-constrained vector quantization: high-rate theory and design algorithms
Author
De Garrido, Diego P. ; Pearlman, William A.
Author_Institution
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
239
Abstract
The performance of optimum vector quantizers subject to a conditional entropy constraint is studied in this work
Keywords
channel capacity; entropy; vector quantisation; VQ; conditional entropy constraint; design algorithms; high-rate theory; optimum vector quantizers; performance; vector quantization; Acoustic distortion; Algorithm design and analysis; Clustering algorithms; Constraint theory; Current measurement; Entropy; Multidimensional systems; Nearest neighbor searches; Signal processing algorithms; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394979
Filename
394979
Link To Document