signal processing

Extracting common signal components from the X-ray and optical light curves of GX 339-4: new view for anti-correlation

Simultaneous X-ray and optical observations of black hole X-ray binaries have shown that the light curves contain multiple correlated and anti-correlated variation components when the objects are in the hard state. In the case of the black hole X-ray …

Sound Separation

Sound Separation with the independent component analysis.

Combining Independent Component Analysis and Sound Stream Segregation

This paper reports the issues and results of AI Challenge: ``Understanding Three Simultaneous Speeches''. First, the issues of the Challenge are revisited. We emphasis the importance of information fusion of various attributes of speeches (sounds) …

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 …

A method of blind separation based on temporal structure of signals

In this article, we propose an Blind Source Separation algorithm for convolutive mixture of signals. We propose a method of separating signals in the time-frequency domain. We apply the decorrelation method proposed by Molgedey and Schuster on …

A On-line Algorithm for Blind Source Separation on Speech Signals

In this article, we propose an on-line algorithm for Blind Source Separation of speech signals, which is recorded in a real environment. This on-line algorithm makes it possible to trace the changing environment. The idea is to apply some on-line …

An Approach to Blind Source Separation of Speech Signals

In this paper we introduce a new technique for blind source separation of speech signals. We focused on the temporal structure of signals which is not always the case in other major approaches. The idea is to apply the decorrelation method …

An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals

In this paper we introduce a new technique for blind source separation of speech signals. We focus on the temporal structure of the signals in contrast to most other major approaches to this problem. The idea is to apply the decorrelation method …