The description of the acoustic activity in a room environment has to face the problem of overlapped sounds, i.e. those which occur simultaneously. That problem can be tackled by carrying out some kind of source signal separation followed by the detection and recognition of the identity of each of the overlapped sounds. An alternative approach relies on modeling all possible overlapping combina...

The performances of blind source separation (BSS) are still not satisfiable to apply to the real environments. The major obstacle may seem the finite filter length of the assumed mixing model and the nonlinear sensor noises. This paper presents a two-step speech enhancement method with stereo microphone inputs. The first is an ordinary frequency-domain BSS step, and the second is the removal of...

The task of recovering a set of unknown sources from another set of mixtures directly observable and little more information about the way they were mixed is called the blind source separation problem. If the assumption in order to obtain the original sources is their statistical independence, then ICA (Independent Component Analysis) maybe the technique to recover the signals. In this contribu...

This paper used the gradient blind signal separation algorithm to carry out the electrical power system harmonic signal analysis through the simulation experiment. The experiment result proved that the electrical power system harmonic signal separation based on the gradient algorithm is accurate. Through comparing the separation performance by using the different step size, the adaptive changin...