Title :
Design methods for VQ by linear mappings of block codes
Author :
Hagen, Roar ; Hedelin, Per
Author_Institution :
Dept. of Inf. Theory, Chalmers Univ. of Technol., Goteborg, Sweden
fDate :
27 Jun-1 Jul 1994
Abstract :
Vector quantization (VQ) is one of the most important building blocks in modern source coders. Both speech and image compression systems are strongly dependant on VQ. When increasingly exploiting the compression capabilities of VQ, we normally have to pay a price in terms of problems with channel robustness and complexity. We have proposed linear mappings of block codes (LMBC) as a technique well suited to deal with some of these problems. As the scheme includes both a block code and a mapping, it is not obvious how to do the design. We demonstrate several design methods that work well and discuss their properties
Keywords :
block codes; channel coding; image coding; source coding; speech coding; vector quantisation; VQ; block codes; channel coding; channel robustness; design methods; image compression systems; linear mappings; source coders; speech compression systems; Block codes; Design methodology; Equations; Error correction; Error correction codes; Image coding; Image reconstruction; Iterative algorithms; Robustness; Vectors;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394981