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

Date

2016-03-25

Author

Hacıhabiboğlu, Hüseyin

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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.

Subject Keywords

Acoustic signal processing, Microphone arrays, Source separation, Quaternions, Vector clustering

URI

https://hdl.handle.net/11511/53628

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Graduate School of Informatics, Conference / Seminar

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Citation Formats

H. Hacıhabiboğlu, “ACOUSTIC SOURCE SEPARATION USING THE SHORT-TIME QUATERNION FOURIER TRANSFORMS OF PARTICLE VELOCITY SIGNALS,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53628.