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

HACIHABİBOĞLU H.

IEEE International Conference on Acoustics, Speech, and Signal Processing, Shanghai, Çin, 20 - 25 Mart 2016, ss.425-429 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Shanghai
  • Basıldığı Ülke: Çin
  • Sayfa Sayıları: ss.425-429
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.