標題: FAST CLOSEST CODEWORD SEARCH ALGORITHM FOR VECTOR QUANTIZATION
作者: LEE, CH
CHEN, LH
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: CODEBOOK DESIGN;MEAN VALUE;VARIANCE;VECTOR QUANTIZATION
公開日期: 1-六月-1994
摘要: One of the most serious problems for vector quantisation is the high computational complexity of searching for the closest codeword in the codebook design and encoding phases. The authors present a fast algorithm to search for the closest codeword. The proposed algorithm uses two significant features of a vector, mean value and variance, to reject many unlikely codewords and saves a great deal of computation time. Since the proposed algorithm rejects those codewords that are impossible to be the closest codeword, this algorithm introduces no extra distortion than conventional full search method. The results obtained confirm the effectiveness of the proposed algorithm.
URI: http://dx.doi.org/10.1049/ip-vis:19941140
http://hdl.handle.net/11536/2472
ISSN: 1350-245X
DOI: 10.1049/ip-vis:19941140
期刊: IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING
Volume: 141
Issue: 3
起始頁: 143
結束頁: 148
顯示於類別:期刊論文


文件中的檔案:

  1. A1994PA08400002.pdf