Title :
Distributed transform coding via source-splitting
Author :
Yahampath, Pradeepa
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288541
