Title :
On the amount of statistical side information required for lossy data compression
Author :
Merhav, Neri ; Ziv, Jacob
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
fDate :
7/1/1997 12:00:00 AM
Abstract :
Consider a vector quantizer that is equipped with N side information bits of an arbitrary representation of the statistics of the input source. We investigate the minimum value of N such that rate-distortion performance of this quantizer would be essentially the same as the optimum quantizer for the given source
Keywords :
rate distortion theory; statistical analysis; vector quantisation; input source statistics; lossy data compression; optimum quantizer; rate distortion performance; statistical side information; vector quantizer; Convergence; Data compression; Information theory; Jacobian matrices; Probability density function; Rate distortion theory; Rate-distortion; Source coding; Statistics; Vector quantization;
Journal_Title :
Information Theory, IEEE Transactions on
