Abstract: In order to improve the ability of real-time and separation accuracy, a blind separation algorithm based on time-frequency (TF) analysis of short time Fourier transformation is proposed, and the problems of underdetermined sound signal sorting can be solved effectively. The proposed method avoids some of the drawbacks, relaxes the assumption by allowing the sources to be TF-non-disjoint to a certain extent, and the algorithm can be achieved in the condition of TF-non-disjoint. This method was successfully applied to sound signal sorting system; the time domain waves of signals can be got; and the whole signal sorting process can be accomplished. In the simulation experiments, the performance and applications in different SNR conditions of proposed method were discussed. The simulation results verify the feasibility and superiority.

Key words: time-frequency analysis, short time Fourier transformation (STFT), sound signal, blind separation, transparent computing