DocumentCode
2938368
Title
Vector quantization of spherically invariant random processes
Author
Muller, Frank ; Geischlager, Franz
Author_Institution
Inst. fur Elektrische Nachrichtentech., Aachen Univ. of Technol., Germany
fYear
1995
fDate
17-22 Sep 1995
Firstpage
439
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location
Whistler, BC
Print_ISBN
0-7803-2453-6
Type
conf
DOI
10.1109/ISIT.1995.550426
Filename
550426
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