DocumentCode
1529179
Title
Symmetric trellis-coded vector quantization
Author
Belzer, Benjamin ; Villasenor, John D.
Author_Institution
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Volume
45
Issue
11
fYear
1997
fDate
11/1/1997 12:00:00 AM
Firstpage
1354
Lastpage
1357
Abstract
We present here design techniques for trellis-coded vector quantizers with symmetric codebooks that facilitate low-complexity quantization as well as partitioning into equiprobable sets for trellis coding. The quantization performance of this coder on the independently identically distributed (i.i.d.) Laplacian source matches the performance of trellis-based scalar-vector quantization (TB-SVQ), but requires less computational complexity
Keywords
computational complexity; source coding; trellis codes; vector quantisation; TCVQ; computational complexity; equiprobable sets; group codes; i.i.d. Laplacian source; independently identically distributed Laplacian source; low-complexity quantization; multidimensional vector codebooks; set partitioning; symmetric codebooks; trellis coding; trellis-coded vector quantization; Channel coding; Communications Society; Computational complexity; Convolutional codes; Indium tin oxide; Laplace equations; Modulation coding; Multidimensional systems; Source coding; Vector quantization;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.649740
Filename
649740
Link To Document