DocumentCode :
1703299
Title :
Entropy coding of composite sources modeled by infinite Gaussian mixture distributions
Author :
Hjørungnes, Are ; Lervik, John M. ; Ramstad, Tor A.
Author_Institution :
Dept. of Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear :
1996
Firstpage :
235
Lastpage :
238
Abstract :
A method for optimizing a multiple entropy coder system for coding of a memoryless mixture distribution is studied. The coding scheme is based on splitting the composite source into a finite number of subsources, followed by entropy coding of each subsource. A rate distortion optimal splitting scheme is found assuming an infinite Gaussian mixture distribution and one common infinite-level uniform threshold quantizer for all samples. Theoretical results quantifying the rate distortion performance for a Gaussian mixture distribution with an exponential mixing density are found for 1 to 5 entropy coders, and compared to the rate distortion function. At a signal-to-noise ratio of 30 dB the average entropy is reduced by 0.270 bits per sample, when using 5 entropy coders compared to coding of the composite source
Keywords :
Gaussian distribution; entropy codes; memoryless systems; quantisation (signal); rate distortion theory; signal sampling; average entropy; composite sources; entropy coding; exponential mixing density; infinite Gaussian mixture distributions; infinite-level uniform threshold quantizer; memoryless mixture distribution; multiple entropy coder system; rate distortion function; rate distortion optimal splitting scheme; rate distortion performance; signal-to-noise ratio; subsources; Entropy coding; Filling; Frequency domain analysis; Optimization methods; Probability density function; Quantization; Rate-distortion; Signal to noise ratio; Statistical distributions; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
Type :
conf
DOI :
10.1109/DSPWS.1996.555504
Filename :
555504
Link To Document :
بازگشت