Joint optimization algorithm combining source and channel coding for multi-stage vector quantization

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Abstract Source optimized multi-stage vector quantization can have poor quality due to channel errors. This paper presents a joint optimization algorithm combining source and channel coding for multi-stage vector quantization. The joint optimization of the codebook with unequal error protection optimizes each codeword in each iteration using unequal bit error rates to reduce the distortion in the whole system by taking advantage of the connections between each codeword in each stage and the characteristics of unequal error protection. Simulations using linear spectral pairs of low bit speech coding show that the average spectral distortion is reduced 0.1 dB for an 8% bit error rate compared to combined channel optimized multi-stage individual vector quantization and unequal error protection. The average spectral distortion is much less than with using multi-stage codebook joint optimization of equal bit error rates.

Keywords linear spectral pair multi-stage vector quantization joint optimization

ZTFLH:

TN912.32

Issue Date: 15 August 2015

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	XU Jingde
	CUI Huijuan
	TANG Kun

Cite this article:

XU Jingde,CUI Huijuan,TANG Kun. Joint optimization algorithm combining source and channel coding for multi-stage vector quantization[J]. Journal of Tsinghua University(Science and Technology), 2015, 55(8): 826-830.

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http://jst.tsinghuajournals.com/EN/ OR http://jst.tsinghuajournals.com/EN/Y2015/V55/I8/826

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