The Embedded Audio Coding of Algebraic Quantization Based on the Transform Coefficients

Gang Tang

doi:10.4028/www.scientific.net/AMM.155-156.621

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 155-156The Embedded Audio Coding of Algebraic...

The Embedded Audio Coding of Algebraic Quantization Based on the Transform Coefficients

Abstract:

This paper proposes a new quantitative method called the transform coefficients, which is based on the algebraic quantization method. This coefficient is defined as a unique amplitude multiplied by a number of pulses.In order to determine the signs of pulse, location and amplitude, we selected the transmission coefficient by adopting an ideal standard errors. This simple quantification has been implemented in scalable coding of microwave transform, and has been proved that its voice signal and music effect is better than that of the SPIHT.

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Periodical:

Applied Mechanics and Materials (Volumes 155-156)

Pages:

621-624

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.155-156.621

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Online since:

February 2012

Authors:

Gang Tang

Keywords:

Algebraic Quantization, Audio Coding, Embedded Coding

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References

[1] YanJiang, GenxinNing, GangWei. Research on multi-source audio coding technology based the distributing principle[J]. Audio engineering, 2009, 33(06): 63-66.

Google Scholar

[2] Hong Zhou, JianChen. The improvement of parametric audio coding algorithm [J ]. Computer engineering, 2002, 28 ( 01): 44-46.

Google Scholar

[3] JunTao. Improved parametric audio coding algorithm[J]. Communication technology, 2002 (12): 40-43.

Google Scholar

[4] HongZhou, YataoPan, Chen Jian. The scalability audio coding [J]. Audio engineering, 2000(9): 3-13.

Google Scholar

[5] MaoshenJia, ChangchunBao, RuiLi. The method audo of coding with 8-64kbit / s ultra wideband [J ]. Journal of communication, 2009, 35 ( 06): 27-34.

Google Scholar