ACOUSTIC SOURCE SEPARATION USING THE SHORT-TIME QUATERNION FOURIER TRANSFORMS OF PARTICLE VELOCITY SIGNALS

被引:0
|
作者
Hacihabiboglu, Huseyin [1 ]
机构
[1] Middle East Tech Univ METU, Grad Sch Informat, TR-06800 Ankara, Turkey
关键词
Acoustic signal processing; microphone arrays; source separation; quaternions; vector clustering; MIXTURES;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Quaternion Fourier transforms (QFT) provide a powerful tool for the analysis of signals obtained from vector probes. Acoustic particle velocity is one such signal which can be measured with specially designed microphone arrays. This paper presents a time-frequency source separation method based on the short-time quaternion Fourier transform of acoustic particle velocity signals and the k-plane clustering of the vector part of the resulting representation. Two example cases, one with a single and one with two interfering sources are presented.
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页码:425 / 429
页数:5
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