Distributed transform coding via source-splitting

Author

Yahampath, Pradeepa

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada

fYear

2012

fDate

25-30 March 2012

Firstpage

2981

Lastpage

2984

Abstract

A practical approach to designing distributed transform codes for high-dimensional correlated Gaussian vectors is presented. In this approach, source-splitting based on linear approximations is used to achieve arbitrary rate-pairs, by using only Wyner-Ziv (WZ) quantizers. The optimal bit-allocation among a dependent set of WZ quantizers is found by using a tree-search algorithm. Experimental results obtained with actual designs, which use conditional entropy constrained trellis coded quantizers (CEC-TCQ) and Slepian-Wolf (SW) codes, are presented.

Keywords

correlation methods; entropy codes; quantisation (signal); transform coding; trellis codes; vectors; Slepian-Wolf code; Wyner-Ziv quantizer; conditional entropy; constrained trellis coded quantizer; distributed transform coding; high dimensional correlated Gaussian vector; linear approximation; optimal bit allocation; rate pairs; source splitting; Bit rate; Decoding; Encoding; Quantization; Sensor arrays; Transforms; Vectors; Distributed transform codes; Karhunen-Loéve transform; Wyner-Ziv quantization; bit allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Conference_Location

Kyoto

ISSN

1520-6149

Print_ISBN

978-1-4673-0045-2

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2012.6288541

Filename

6288541