Title :
Finding minimax codes for discrete and continuous classes of sources
Author_Institution :
Manage. & Inf. Technol. Consulting, princeton, NJ
fDate :
April 30 2007-May 2 2007
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;
Conference_Titel :
Sarnoff Symposium, 2007 IEEE
Conference_Location :
Nassau Inn, Princeton, NJ
Print_ISBN :
978-1-4244-2483-2
DOI :
10.1109/SARNOF.2007.4567390
