Title :
An efficient algorithm for trellis-coded vector quantisation
Author :
Mingyou, Hu ; Tiong, Tan Boon
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
An efficient trellis-coded vector quantisation (TCVQ) algorithm based on the modified set-partition method and partial distance search scheme is presented. Using the modified set-partition method, the minimum distance within subset can be maximized as much as possible, and thus improve the performance of TCVQ. A novel partial distance search method based on the codebook structure of TCVQ is also proposed to reduce the computational complexity of the minimum distortion encoding for TCVQ. Experimental results show that it can reduce about 80-90% computational complexity for different codebook size when compared with the full search TCVQ
Keywords :
computational complexity; optimisation; search problems; trellis codes; vector quantisation; TCVQ algorithm; codebook structure; computational complexity reduction; efficient algorithm; minimum distortion encoding; modified set-partition method; partial distance search scheme; trellis-coded vector quantisation; Acceleration; Computational complexity; Encoding; Euclidean distance; Labeling; Partitioning algorithms; Rate-distortion; Search methods; Source coding; Vector quantization;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891600