Stereo Sound Demixing Method in Time-Frequency Domain

Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix

Abstract. We consider a method for solving the permutation problem in blind source separation (BSS) by the frequency-domain independent component analysis (FD-ICA) by using phase linearity of FD-ICA demixing matrix. However, there is still remaining issue how we can estimate the phase linearity. In this paper, we propose two methods to estimate the linearity of the phase response of the FD-ICA ...

seismic texture recognition in time-frequency domain

in seismic exploration studies different types of techniques are used to recognize seismic features in terms of their temporal and spatial spectra. variations in frequency content are sensitive to subtle changes in reflection information (castro de matos et al., 2003). in this study the joint time-frequency analysis is used for seismic texture recognition. discrete wavelet transform (dwt) witho...

Performance of time domain and time-frequency domain adaptive beamformers with moving sound sources

The need to extract a single audio signal of interest from a multi-source and noisy environment is common across many disciplines. Adaptive beamforming, due to its superior interference rejection and noise suppression, is a preferred processing technique for obtaining high quality audio in noisy environments. In a previous study, we have examined the performance of two classes of adaptive beamf...

A Method of Ica in Time-frequency Domain

We propose a method of ICA for separating convolutive mixtures of acoustic signals. The acoustic signals recorded in a real environment are not instantaneous but convolutive mixtures, because of the delay and the reflections. In order to separate these signals, it is effective to transform the signals into time-frequency domain. The difficult point in these approaches is the ambiguity of the pe...

Blind source separation and sound source localization on time-frequency domain considering time lag information