Blind Separation Simulation System of Sound Signals Based on Time-Frequency Analysis of Short Time Fourier Transformation

Authors

Xiaorong Tong, School of Network security and Informatization, Weinan Normal University, Weinan 714099, China;

Abstract

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.

Recommended Citation

Tong, Xiaorong (2019) "Blind Separation Simulation System of Sound Signals Based on Time-Frequency Analysis of Short Time Fourier Transformation," Journal of System Simulation: Vol. 31: Iss. 2, Article 23.
DOI: 10.16182/j.issn1004731x.joss.17-0221
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss2/23

First Page

353

Revised Date

2017-08-28

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0221

Last Page

359

CLC

TN911.7

Recommended Citation

Tong Xiaorong. Blind Separation Simulation System of Sound Signals Based on Time-Frequency Analysis of Short Time Fourier Transformation[J]. Journal of System Simulation, 2019, 31(2): 353-359.

DOI

10.16182/j.issn1004731x.joss.17-0221