Title :
The Dispersion of Lossy Source Coding
Author :
Ingber, Amir ; Kochman, Yuval
Author_Institution :
Dept. of EE-Syst., TAU, Tel Aviv, Israel
Abstract :
In this work we investigate the behavior of the minimal rate needed in order to guarantee a given probability that the distortion exceeds a prescribed threshold, at some fixed finite quantization block length. We show that the excess coding rate above the rate-distortion function is inversely proportional (to the first order) to the square root of the block length. We give an explicit expression for the proportion constant, which is given by the inverse Q-function of the allowed excess distortion probability, times the square root of a constant, termed the excess distortion dispersion. This result is the dual of a corresponding channel coding result, where the dispersion above is the dual of the channel dispersion. The work treats discrete memoryless sources, as well as the quadratic-Gaussian case.
Keywords :
channel coding; memoryless systems; probability; quantisation (signal); rate distortion theory; source coding; channel coding; channel dispersion; discrete memoryless source; excess distortion dispersion; excess distortion probability; finite quantization block length; inverse Q-function; lossy source coding dispersion; rate-distortion function; Channel coding; Dispersion; Distortion measurement; Rate-distortion; Redundancy; Resource description framework; Source coding; Central limit theorem; Dispersion; Excess distortion exponent; Rate disortion;
Conference_Titel :
Data Compression Conference (DCC), 2011
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-61284-279-0
DOI :
10.1109/DCC.2011.13