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In this paper, a fast-search algorithm is introduced to reduce the complexity of LSF quantization in speech coding. A new inequality between the weighted mean and the weighted Euclidean distance is derived. Using this inequality, many codewords that are impossible to be the nearest codeword are rejected directly. The proposed algorithm produces the same output as conventional full search algorithm and the experiment results confirm its effectiveness. © 2006 IEEE.
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ISSN: 1520-6149
年份: 2006
卷: 1
页码: I841-I844
语种: 英文
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