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This paper presents a novel time-frequency (TF) domain nonparametric density estimation independent component analysis (ICA) combined with preprocessing by time-frequency plane Wiener (TFPW) filtering algorithm. It achieves blind separation of over-determined instantaneous linear mixtures of non-stationary sources. The algorithm simultaneously estimates the(More)
With easily available prior knowledge, we explore a new approach for nulling of reverberation through separating active sonar data into reverberation and moving target echo. From the perspective of signal processing, the method, as outlined below, is based on active sonar data properties and the process of how reverberation is formulated. It is assumed that(More)
The performance of the complex-valued blind source separation (BSS) is studied in the frequency domain approach to separate convolutive speech mixtures. In this context, the strong uncorrelating transform (SUT) and complex maximization of non-Gaussianity (CMN) do not produce satisfactory separation results since their assumptions about the independence(More)
Some algorithms based on Second Order Statistics (SOS) succeed in separating the non-stationary or colored mixing signals. Among those algorithms, the non-stationary signals are blocked, or the time delay is considerable for colored signals. The speech signal is non-stationary and colored. Based on the autocorrelation matrix of the delayed mixing signals in(More)
This paper proposes a Bayesian method for underdetermined blind source separation based on the Gaussian mixture model. The proposed algorithm follows a hierarchical learning and alternative estimations for sources and mixing matrix. The independent sources are estimated from their a posteriori means and the mixing matrix is estimated by maximum likelihood(More)
Multichannel blind equalization is an important task for numerous applications such as speech separation, dereverberation, communication, signal processing and control, etc. In this paper, a cost function is constructed by the knowledge of correlation. Then a novel on-line algorithm is derived with natural gradient search method for multichannel blind(More)
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