Title :
Optimal rate allocation for entropy-coded uniform scalar quantization of dependent sources in nonbinary hypothesis testing
Author :
Tabesh, Ali ; Marcellin, Michael W. ; Neifeld, Mark A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ, USA
fDate :
1/1/2010 12:00:00 AM
Abstract :
We propose a closed-form rate allocation scheme (RAS) for entropy-coded uniform scalar quantization of dependent sources in classification problems. The proposed RAS is applicable to nonbinary classification with piecewise monotonic unquantized Bayes decision boundaries. The RAS is also extended to joint compression and classification.
Keywords :
Bayes methods; quantisation (signal); entropy-coded uniform scalar quantization; nonbinary hypothesis testing; optimal rate allocation scheme; piecewise monotonic unquantized Bayes decision boundaries; Additives; Biomedical imaging; Channel coding; Communications Society; Quantization; Radiology; Testing; Upper bound; Variable speed drives; Wavelet transforms; Rate allocation, entropy-coded uniform scalar quantization; classification; nonbinary classification, joint compression and;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2010.01.080310
