Title :
Rate-distortion bounds for an ε-insensitive distortion measure
Author_Institution :
Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Ikoma, Japan
Abstract :
Direct evaluation of the rate-distortion function has rarely been achieved when it is strictly greater than its Shannon lower bound. In this paper, we consider the ratedistortion function for the distortion measure defined by an ε-insensitive loss function. We first present the Shannon lower bound applicable to any source distribution with finite differential entropy. Then, focusing on the Laplacian and Gaussian sources, we prove that the rate-distortion functions of these sources are strictly greater than their Shannon lower bounds and obtain analytic upper bounds for the rate-distortion functions. Small distortion limit and numerical evaluation of the bounds suggest that the Shannon lower bound provides a good approximation to the rate-distortion function for the ε-insensitive distortion measure.
Keywords :
Gaussian processes; approximation theory; distortion; entropy; numerical analysis; rate distortion theory; source coding; ε-insensitive distortion measure; ε-insensitive loss function; Gaussian source; Laplacian source; Shannon lower bound; analytic upper bound; any source distribution; approximation theory; distortion limit; finite differential entropy; numerical evaluation; rate distortion bound function; Approximation methods; Distortion measurement; Entropy; Laplace equations; Loss measurement; Rate-distortion; Upper bound;
Conference_Titel :
Information Theory Workshop (ITW), 2013 IEEE
Conference_Location :
Sevilla
Print_ISBN :
978-1-4799-1321-3
DOI :
10.1109/ITW.2013.6691347