Article

THEORETICAL ANALYSIS OF MICROPHONE ARRAYS WITH POSTFILTERING FOR COHERENT AND INCOHERENT NOISE SUPPRESSION IN NOISY ENVIRONMENTS

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Abstract

Microphone arrays have shown substantial capability in re- ducing noise due to their spatial selectivity. In this paper, we first introduce two noise reduction algorithms using mi- crophone arrays to deal with both coherent and incoherent noise components. Two algorithms have the same compo- nents, a generalized sidelobe canceller(GSC) and a Wiener filter, but with different structures. Their theoretical perfor- mance are then analyzed in different theoretically defined noise fields. The performance is further evaluated by using the real-world multi-channel noise recordings. With regard to the theoretical and experimental results, some discussions on two algorithms are also presented.

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Conference Paper
This paper describes a new optimized method for calculating Zelinski post-filter transfer function for a microphone array. Optimized algorithm requires less memory and fewer arithmetical multiplications. We demonstrate that for the known algorithm computational complexity increases quadratically as a function of the number of microphones. In contrast, the computational complexity of the proposed algorithm increases linearly. This provides a considerable acceleration in the calculation of the post-filter transfer function.
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