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Author:

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

Indexed by:

EI Scopus PKU CSCD

Abstract:

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.

Keyword:

Algorithms Vector quantization Speech coding Computer simulation Flowcharting Linear programming

Author Community:

  • [ 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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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2005

Issue: 2

Volume: 31

Page: 130-135

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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