DocumentCode :
3410654
Title :
Joint codebook design for summation product-code vector quantizers
Author :
Chan, Wai-Yip ; Gersho, Allen ; Soong, Sau-Wah
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
fYear :
1993
fDate :
1993
Firstpage :
42
Lastpage :
51
Abstract :
With respect to the generalized product code (GPC) model for structured vector quantization, multistage VQ (MSVQ) and tree-structured VQ are members of a family of summation product codes (SPCs), defined by the prototypical synthesis function x=f1+···+fs, where fi , i=1, . . ., s are the residual vector features. The authors describe an algorithm paradigm for the joint design of the feature codebooks constituting a GPC. They specialize the paradigm to a joint design algorithm for the SPCs and exhibit experimental results for the MSVQ of simulated sources. The performance improvements over conventional `greedy´ design are essentially `free´ as the only cost is a moderate increase in design complexity
Keywords :
computational complexity; vector quantisation; algorithm paradigm; design complexity; feature codebooks; joint design algorithm; performance improvements; structured vector quantization; summation product-code vector quantizers; Aerospace engineering; Algorithm design and analysis; Costs; Councils; Decoding; Design optimization; Encoding; Product codes; Prototypes; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 1993. DCC '93.
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-3392-1
Type :
conf
DOI :
10.1109/DCC.1993.253146
Filename :
253146
Link To Document :
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