基于时变滤波器的动态降噪算法

2011 3rd International Conference on Awareness Science and Technology (iCAST) Pub Date : 2011-09-01 DOI:10.1109/ICAWST.2011.6163085

Zhe Chen, Dan Shi, F. Yin

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引用次数: 2

摘要

本文提出了一种基于时变滤波器(TVF)的动态降噪算法，该算法可以在时间域和修正离散余弦变换(MDCT)域实现。在时域上，采用可变带宽的IIR滤波器对TVF进行滤波。在频域，结合MDCT变换，在MDCT域抑制噪声。实验结果表明，该算法具有较低的噪声抑制延迟和算法复杂度。

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Dynamic noise reduction algorithm based on time-variety filter

In this paper, a new dynamic noise reduction algorithm is proposed based on time-variety filter (TVF), which can be implemented in both time and modified discrete cosine transform (MDCT) domain. In time domain, an IIR filter with changeable bandwidth is for the TVF. In frequency domain, combined with MDCT transform, the noise is suppressed in MDCT domain. A few experiment results reveal that the algorithm retains the noise-suppressing performance with low delay and algorithm complexity.

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2011 3rd International Conference on Awareness Science and Technology (iCAST)

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