Efficient LSF parameters quantizer with low storage - 文章详情页

作者：

Li, Jing (Li, Jing.) | Bao, Chang-Chun (Bao, Chang-Chun.) (学者：鲍长春) | Bai, Yan-Ning (Bai, Yan-Ning.)

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摘要：

To　reduce　the　computational　complexity　and　storage　of　the　line　spectrum　frequency　(LSF)　parameters　quantizer　a　predictive　multi-stage　split　vector　quantizer　is　designed　to　quantize　LSF　parameters　by　using　the　correlation　of　LSF　parameters　between　frames　and　inter　frames.　The　LSF　residual　vector　is　quantized　by　2-stage　vector　qutization　(VQ)　and　error　vector　is　divided　into　4-D　and　6-D　subvectors　in　the　second　stage.　This　vector　quantizer　achieves　an　average　spectral　distortion　of　less　than　1　dB　at　20　bits/frame　with　low　computational　complexity　and　storage,　where　the　multi-stage　VQ　simultaneous　joint　design　algorithm　is　used　to　train　the　codebooks　and　the　M-L　tree　search　algorithm　is　applied　to　select　codes.

关键词：

Algorithms Computer simulation Flowcharting Linear programming Speech coding Vector quantization

作者机构：

[ 1 ] [Li, Jing]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Bao, Chang-Chun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Bai, Yan-Ning]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

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