scholarly journals A new blind separation method for under-determined speech signals based on single source interval pre-extraction

2021 ◽  
Vol 336 ◽  
pp. 04012
Author(s):  
Xiangning Hao ◽  
Guixin Zhang ◽  
Liqiong Deng
Keyword(s):  
Separation Method ◽  
New Method ◽  
Source Analysis ◽  
Speech Signals ◽  
Frequency Interval ◽  
Extraction Operation ◽  
Single Source ◽  
Blind Separation ◽  
Time Frequency ◽  
Simulation Results

A new method is proposed to realize the blind separation of speech signals under underdetermined conditions. Before estimating the mixed parameters, the single-source interval pre-extraction operation first "filters" out a part which is obviously not a single source. The time-frequency interval of the source analysis domain category.The simulation results show the good performance of the algorithm.

Blind Separation Method for Gearbox Mixed Fault Signals

2011 ◽  
Vol 86 ◽  
pp. 180-183
Author(s):  
Yan Bin Lei ◽  
Zhi Gang Chen ◽  
Hai Ou Liu
Keyword(s):  
Blind Source Separation ◽  
Source Separation ◽  
Higher Order ◽  
Separation Method ◽  
New Method ◽  
Blind Separation ◽  
Vibration Signals ◽  
Mechanical Simulation ◽  
Gearbox Vibration

A new blind source separation (BSS) algorithm used for separating mixed gearbox signals is proposed in this paper. Firstly, whiten the observed signals, and then diagonalize the second- and higher-order cumulant matrix to get an orthogonal separation matrix. The feasibility of the algorithm is validated through separating the mechanical simulation signals and the gearbox vibration signals. The algorithm can successfully identified the failure source of the gearbox and provides a new method to a gearbox fault.

scholarly journals A new method for epoch detection based on the Cohen's class of time frequency representations

2001 ◽  
Vol 8 (8) ◽  
pp. 225-227 ◽  
Author(s):  
J.L. Navarro-Mesa ◽  
E. Lleida-Solano ◽  
A. Moreno-Bilbao
Keyword(s):  
New Method ◽  
Time Frequency ◽  
Cohen's Class

A New Method of Rolling Prediction for Gas Emission Based on Wavelet Neural Network

2011 ◽  
Vol 383-390 ◽  
pp. 1500-1506
Author(s):  
Yu Min Pan ◽  
Xiao Yu Zhang ◽  
Peng Qian Xue
Keyword(s):  
Neural Network ◽  
Input Data ◽  
Wavelet Neural Network ◽  
New Method ◽  
Neutral Network ◽  
Gas Emission ◽  
Sample Data ◽  
Simulation Results

A new method of rolling prediction for gas emission based on wavelet neural network is proposed in this paper. In the method, part of the sample data is selected, which length is constant, and the data is reselected as the next prediction step. Then a wavelet neutral network is adopted to prediction which input data is rolling, the sequence model of rolling prediction is thus constructed. Simulation results have proved that the method is valid and feasible.

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