DocumentCode
2172625
Title
Finding minimax codes for discrete and continuous classes of sources
Author
Wolfe, Laurence
Author_Institution
Manage. & Inf. Technol. Consulting, princeton, NJ
fYear
2007
fDate
April 30 2007-May 2 2007
Firstpage
1
Lastpage
5
Abstract
This paper suggests a signal processing method for finding the minimax codes which minimize the maximum redundancies over a class of sources with either a discrete or a continuous alphabet, and where relative entropy (cross entropy; discrimination information) is a criterion to measure the redundancy. A complexity analysis and numerical studies demonstrate the efficiency of the method.
Keywords
encoding; entropy codes; minimax techniques; minimisation; redundancy; signal processing; discrete-continuous source class; minimax code; relative entropy; signal processing method; Channel capacity; Entropy; Information management; Information technology; Information theory; Minimax techniques; Partitioning algorithms; Signal processing; Technology management; Vector quantization; Coding; Network Information Theory; Quantization; Signal Processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Sarnoff Symposium, 2007 IEEE
Conference_Location
Nassau Inn, Princeton, NJ
Print_ISBN
978-1-4244-2483-2
Type
conf
DOI
10.1109/SARNOF.2007.4567390
Filename
4567390
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