Acoustic source separation using the short-time quaternion fourier transforms of particle velocity signals

Hüseyin Hacihabiboglu

ICASSP 2016accepted0 citations

Acoustic source separation using the short-time quaternion fourier transforms of particle velocity signals

Abstract

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.

BibTeX

@inproceedings{icassp2016_acousticsourcese,
  title = {Acoustic source separation using the short-time quaternion fourier transforms of particle velocity signals},
  author = {Hüseyin Hacihabiboglu},
  booktitle = {ICASSP 2016},
  year = {2016}
}