Title :
Vector quantization of spherically invariant random processes
Author :
Muller, Frank ; Geischlager, Franz
Author_Institution :
Inst. fur Elektrische Nachrichtentech., Aachen Univ. of Technol., Germany
Abstract :
Vector quantization of spherically invariant random processes (SIRP) is considered. Especially, trellis coded quantization (TCQ) and lattice vector quantization (LVQ) are investigated. For performance evaluations a random number generator has been developed producing sequences which can be regarded as SIRP realizations. It turns out that in most cases the TCQ outperforms all other investigated quantization methods, even those LVQ schemes which are matched to the properties of SIRP sources. Comparisons with bounds from rate distortion theory are given as well
Keywords :
estimation theory; random number generation; random processes; rate distortion theory; trellis codes; vector quantisation; LVQ; SIRP; TCQ; lattice vector quantization; performance evaluation; quantization methods; random number generator; rate distortion theory; sequences; spherically invariant random processes; trellis coded quantization; vector quantization; Lattices; Random processes; Rate-distortion; Vector quantization;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.550426