基于短时傅里叶时频分析的声信号盲分选仿真系统研究

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

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (2): 353-359.doi: 10.16182/j.issn1004731x.joss.17-0221

基于短时傅里叶时频分析的声信号盲分选仿真系统研究

同晓荣

渭南师范学院网络安全与信息化学院,陕西渭南 714099

收稿日期:2017-05-15 修回日期:2017-08-28 出版日期:2019-02-15 发布日期:2019-02-15
作者简介:同晓荣(1972-),男,陕西白水,本科,副教授,研究方向为嵌入式系统、信号处理和计算机应用技术。
基金资助:
渭南市科研发展计划(2015KYJ-2-6),教育部产学合作协同育人项目(201702030020),渭南师范学院教育教学改革研究项目(JG201704）

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

Tong Xiaorong

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

Received:2017-05-15 Revised:2017-08-28 Online:2019-02-15 Published:2019-02-15

摘要/Abstract

摘要： 为优化声信号盲分选仿真系统的实时性以及分选精度,研究了一种基于短时傅里叶时频分析（Short Time Fourier Time Frequency Analyze, STF-TF）的声信号盲分选算法,用于改善系统分选精度。该方法在信号的时频平面投影相交的情况下,能够实现声信号分选算法功能。仿真实验表明：在欠定条件下,当源信号数目与接收天线数目相差为1时分选效果最佳。利用SystemVue仿真平台建立了多声传感器条件下信号盲分选系统,并结合透明计算原理提出了适用于该系统的高实时性结构。

关键词: 时频分析, 短时傅里叶变换, 声信号, 盲分选, 透明计算

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

中图分类号:

TN911.7

同晓荣. 基于短时傅里叶时频分析的声信号盲分选仿真系统研究[J]. 系统仿真学报, 2019, 31(2): 353-359.

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.

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基于短时傅里叶时频分析的声信号盲分选仿真系统研究

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

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