Title :
Rate distortion bounds via threshold-based classification
Author :
Weidmann, Claudio
Author_Institution :
Commun. Syst. Dept., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
We present parametric upper bounds on the distortion rate function of memoryless sources. In particular, these bounds are useful for sparse sources with a peaked, heavy-tailed PDF. In addition we study the geometric mean as a measure of sparseness
Keywords :
memoryless systems; probability; rate distortion theory; source coding; distortion rate function; geometric mean; lossy encoding; memoryless sources; parametric upper bounds; peaked heavy-tailed PDF; rate distortion bounds; real-valued memoryless source; source coding; sparse sources; sparseness measure; squared error distortion measure; threshold-based classification; Decoding; Distortion measurement; Encoding; Entropy; Loss measurement; Network address translation; Rate distortion theory; Rate-distortion; Tail; Upper bound;
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
DOI :
10.1109/ISIT.2001.936032
