DocumentCode
1706331
Title
The binary vector quantization
Author
Yan, Long-Jhe ; Hwang, Shaw-Hwa
Author_Institution
Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei
fYear
2008
Firstpage
604
Lastpage
607
Abstract
The binary search algorithm for vector quantization is firstly proposed in this paper. It employs jointly sensitive-codeword based on the binary tree search structure to improve the search structure. Comparisons of experimental results show that the proposed algorithm performs the best. Most of search space is reduced. In the case of G.729´s LSP quantization, more than 58% of search space is reduced.
Keywords
rate distortion theory; tree searching; vector quantisation; VQ encoding; binary tree search algorithm; binary vector quantization; jointly sensitive-codeword; rate distortion performance; Binary trees; Clustering algorithms; Decoding; Distortion measurement; Encoding; Image coding; Partitioning algorithms; Space technology; Speech; Vector quantization; TSVQ; VQ; binary VQ (BVQ); jointly sensitive-codeword;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Conference_Location
St Julians
Print_ISBN
978-1-4244-1687-5
Electronic_ISBN
978-1-4244-1688-2
Type
conf
DOI
10.1109/ISCCSP.2008.4537296
Filename
4537296
Link To Document