DocumentCode
1330626
Title
On complexity reduction of trellis-based scalar vector quantizers by signaling of regions
Author
Lee, Cheng-Chieh
Author_Institution
Bell Labs., Lucent Technol., Murray Hill, NJ, USA
Volume
7
Issue
5
fYear
2000
fDate
5/1/2000 12:00:00 AM
Firstpage
123
Lastpage
125
Abstract
This article presents a method to reduce the complexity of trellis-based scalar-vector quantizers. The proposed method partitions the reproduction alphabet into equal-area regions and shapes the codebook subject to a rate-reduced signaling of these regions. As the shaping bit rate reduces, the coder complexity can be significantly reduced without sacrificing any rate-distortion performance.
Keywords
computational complexity; rate distortion theory; source coding; trellis codes; vector quantisation; codebook shaping; coder complexity; complexity reduction; equal-area regions; rate-distortion performance; rate-reduced signaling; reproduction alphabet partitioning; shaping bit rate; trellis-based scalar vector quantizers; Bit rate; Computational complexity; Convolutional codes; Gaussian distribution; Partitioning algorithms; Performance loss; Rate-distortion; Shape; Vector quantization;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.841159
Filename
841159
Link To Document