Blind source separation (BSS) method separates the desired signals from a mixed observed
signal by making full use of spatial information. Spatial information refers the fact that the …

Generally, most blind signal separation algorithms deal with the separation problem in the
absence of noise. The presence of noise degrades the performance of separated signals …

The S transform is widely used in time‐frequency analysis (TFA). However, the standard S
transform suffers from the poor energy concentration in time‐frequency distribution (TFD). In …

Interdisciplinary integration is a superior method to improve the optimization algorithm. In
this paper, control theory and optimization are combined, and the optimization algorithm is …

This paper deals with the problem of blind separation of audio signals from noisy mixtures. It
proposes the application of a blind separation algorithm on the discrete cosine transform …

This paper presents a benchmarking study on the steepest descent (SD) method
considering three different line search conditions including Backtracking (BC), Armijo …

This paper presents a new blind speech separation algorithm using beamforming technique
that is capable of extracting each individual speech signal from a mixture of three speech …

This letter presents a new computational procedure for the second-order gradient-based
blind signal separation (BSS) problem with convolutive mixtures that has improved …

This letter proposes an optimal design of the filter bank with minimum inband aliasing,
residual aliasing together with restrictions on the frequency response of the analysis filter …

This paper addresses the problem of joint block diagonalization (JBD) of a set of given
matrices. As is known that the nonunitary JBD algorithm has some advantages over the …