Designing the Wiener post-filter for diffuse noise suppression using imaginary parts of inter-channel cross-spectra
Designing the Wiener post-filter for diffuse noise suppression using imaginary parts of inter-channel cross-spectra
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DOI：
10.1109/icassp.2010.5496202
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发表时间：
2010-03
期刊：
影响因子：
--
通讯作者：
N. Ito;Nobutaka Ono;E. Vincent;S. Sagayama
中科院分区：
文献类型：
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作者：
N. Ito;Nobutaka Ono;E. Vincent;S. Sagayama
本文介绍了一种新的设计的维纳后置滤波器的扩散噪声抑制。维纳后滤波器作为最小方差无失真响应波束形成器的有效后处理而广为人知，其输出是目标信号在最小均方误差意义下的最优估计。在设计维纳后置滤波器时，必须从被噪声污染的观测信号中准确地估计出目标功率谱。在我们的方法中，它是从通道间观测互谱的虚部估计，假设通道间噪声互谱是实值的。后滤波器的设计使用的估计和这种设计被证明是有效的，即使是一个小尺寸的阵列，通过使用模拟和真实的环境噪声的实验。
This paper describes a new design of the Wiener post-filter for diffuse noise suppression. The Wiener post-filter is well-known as an effective post-processing of the minimum variance distortionless response beamformer, and its output is the optimal estimate of the target signal in the sense of the minimum mean square error. It is essential to accurately estimate the target power spectrum from the observed signals contaminated by noise when designing the Wiener post-filter. In our method, it is estimated from the imaginary parts of the inter-channel observation cross-spectra, under the assumption that the inter-channel noise cross-spectra are real-valued. The post-filter is designed using the estimate and this design is shown to be effective even for a small-sized array through experiments using simulated and real environmental noise.