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AN EFFICIENT FAST ENCODING ALGORITHM FOR VECTOR QUANTIZATION 被引量:1

AN EFFICIENT FAST ENCODING ALGORITHM FOR VECTOR QUANTIZATION
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摘要 A fast encoding algorithm was presented which made full use of two characteristics of a vector, its sum and variance. In this paper, a vector was separated into two subvectors, one is the first half of the coordinates and the other contains the remaining coordinates. Three inequalities based on the characteristics of the sums and variances of a vector and its two subvectors were introduced to reject those codewords which are impossible to be the nearest codeword. The simulation results show that the proposed algorithm is faster than the improved equal average eaual variance nearest neighbor search (EENNS) algorithm. A fast encoding algorithm was presented which made full use of two characteristics of a vector, its sum and variance. In this paper, a vector was separated into two subvectors, one is the first half of the coordinates and the other contains the remaining coordinates. Three inequalities based on the characteristics of the sums and variances of a vector and its two subvectors were introduced to reject those codewords which are impossible to be the nearest codeword. The simulation results show that the proposed algorithm is faster than the improved equal average eaual variance nearest neighbor search (EENNS) algorithm.
出处 《Journal of Shanghai Jiaotong university(Science)》 EI 2000年第2期23-27,32,共6页 上海交通大学学报(英文版)
关键词 VECTOR QUANTIZATION nearest NEIGHBOR SEARCH equal AVERAGE nearest NEIGHBOR SEARCH ALGORITHM equal AVERAGE equal variance nearest NEIGHBOR SEARCH ALGORITHM Document code:A vector quantization nearest neighbor search equal average nearest neighbor search algorithm equal average equal variance nearest neighbor search algorithm Document code:A
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参考文献8

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同被引文献7

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