A fast encoding technique is described for vector quantization (VQ) of line spectral frequency parameters. A reduction in VQ encoding complexity is achieved by using a preliminary test that reduces the necessary codebook search range. The test is performed based on two criteria. One criterion uses the distance between a specific single element of the input vector and the corresponding element of the codevectors in the codebook. The other criterion makes use of the ordering property of LSF parameters. The fast encoding technique is implemented in the enhanced variable rate codec (EVRC) encoding algorithm. Simulation results show that the average searching range of the codebook can be reduced by 44.50% for the EVRC without degradation of spectral distortion (SD).
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Sangwon KANG, Yongwon SHIN, Changyong SON, Thomas R. FISCHER, "A Fast Encoding Technique for Vector Quantization of LSF Parameters" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 9, pp. 3750-3755, September 2005, doi: 10.1093/ietcom/e88-b.9.3750.
Abstract: A fast encoding technique is described for vector quantization (VQ) of line spectral frequency parameters. A reduction in VQ encoding complexity is achieved by using a preliminary test that reduces the necessary codebook search range. The test is performed based on two criteria. One criterion uses the distance between a specific single element of the input vector and the corresponding element of the codevectors in the codebook. The other criterion makes use of the ordering property of LSF parameters. The fast encoding technique is implemented in the enhanced variable rate codec (EVRC) encoding algorithm. Simulation results show that the average searching range of the codebook can be reduced by 44.50% for the EVRC without degradation of spectral distortion (SD).
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.9.3750/_p
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@ARTICLE{e88-b_9_3750,
author={Sangwon KANG, Yongwon SHIN, Changyong SON, Thomas R. FISCHER, },
journal={IEICE TRANSACTIONS on Communications},
title={A Fast Encoding Technique for Vector Quantization of LSF Parameters},
year={2005},
volume={E88-B},
number={9},
pages={3750-3755},
abstract={A fast encoding technique is described for vector quantization (VQ) of line spectral frequency parameters. A reduction in VQ encoding complexity is achieved by using a preliminary test that reduces the necessary codebook search range. The test is performed based on two criteria. One criterion uses the distance between a specific single element of the input vector and the corresponding element of the codevectors in the codebook. The other criterion makes use of the ordering property of LSF parameters. The fast encoding technique is implemented in the enhanced variable rate codec (EVRC) encoding algorithm. Simulation results show that the average searching range of the codebook can be reduced by 44.50% for the EVRC without degradation of spectral distortion (SD).},
keywords={},
doi={10.1093/ietcom/e88-b.9.3750},
ISSN={},
month={September},}
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TY - JOUR
TI - A Fast Encoding Technique for Vector Quantization of LSF Parameters
T2 - IEICE TRANSACTIONS on Communications
SP - 3750
EP - 3755
AU - Sangwon KANG
AU - Yongwon SHIN
AU - Changyong SON
AU - Thomas R. FISCHER
PY - 2005
DO - 10.1093/ietcom/e88-b.9.3750
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2005
AB - A fast encoding technique is described for vector quantization (VQ) of line spectral frequency parameters. A reduction in VQ encoding complexity is achieved by using a preliminary test that reduces the necessary codebook search range. The test is performed based on two criteria. One criterion uses the distance between a specific single element of the input vector and the corresponding element of the codevectors in the codebook. The other criterion makes use of the ordering property of LSF parameters. The fast encoding technique is implemented in the enhanced variable rate codec (EVRC) encoding algorithm. Simulation results show that the average searching range of the codebook can be reduced by 44.50% for the EVRC without degradation of spectral distortion (SD).
ER -