Research on matching pursuit algorithm based-on laplace wavelet for partial discharge pulse detection

2005 ◽  
Author(s):  
Xiao Yan ◽  
Huang Chengjun ◽  
Yu Weiyong ◽  
Jiang Xiuchen
Keyword(s):  
Matching Pursuit ◽  
Partial Discharge ◽  
Pulse Detection ◽  
Discharge Pulse ◽  
Matching Pursuit Algorithm

scholarly journals Analysis of geoacoustic emission and electromagnetic radiation signals accompanying earthquake with magnitude Mw = 7.5

2020 ◽  
Vol 196 ◽  
pp. 03001
Author(s):  
Olga Lukovenkova ◽  
Alexandra Solodchuk
Keyword(s):  
Electromagnetic Radiation ◽  
Frequency Spectrum ◽  
Matching Pursuit ◽  
Kamchatka Peninsula ◽  
Pulse Waveform ◽  
Frequency Spectra ◽  
Pulse Detection ◽  
Geoacoustic Emission ◽  
Matching Pursuit Algorithm ◽  
Electromagnetic Signals

The paper is devoted to the analysis of frequency spectra and pulse waveform variety of the geoacoustic and electromagnetic signals recorded on Kamchatka Peninsula at “Karymshina” site during seismically calm and active periods. Signal pre-processing includes pulse detection and their waveforms reconstruction. A frequency spectrum is analyzed using the Adaptive Matching Pursuit algorithm. To study a variety of waveforms, each pulse is encoded by a special descriptive matrix. Then pulse classification based on similarity of the descriptive matrices is performed. Thus, a signal alphabet is formed. The authors analyzed the geophysical signals recorded before, during and after the earthquake with the magnitude Mw = 7.5 dated March 25, 2020. The obtained estimates of frequency spectra and signal alphabets are compared with the analysis results of signal recoded during the seismically calm period of March 22, 2020.

scholarly journals A Broadband Spectrum Sensing Algorithm in TDCS Based on ICoSaMP Reconstruction

2018 ◽  
Vol 173 ◽  
pp. 03073
Author(s):  
Liu Yang ◽  
Ren Qinghua ◽  
Xu Bingzheng ◽  
Li Xiazhao
Keyword(s):  
Time Use ◽  
Matching Pursuit ◽  
Reconstruction Algorithm ◽  
Transform Domain ◽  
Low Snr ◽  
System Noise ◽  
Broadband Spectrum ◽  
Matching Pursuit Algorithm ◽  
The Mean ◽  
Occupancy Rates

In order to solve the problem that the wideband compressive sensing reconstruction algorithm cannot accurately recover the signal under the condition of blind sparsity in the low SNR environment of the transform domain communication system. This paper use band occupancy rates to estimate sparseness roughly, at the same time, use the residual ratio threshold as iteration termination condition to reduce the influence of the system noise. Therefore, an ICoSaMP(Improved Compressive Sampling Matching Pursuit) algorithm is proposed. The simulation results show that compared with CoSaMP algorithm, the ICoSaMP algorithm increases the probability of reconstruction under the same SNR environment and the same sparse degree. The mean square error under the blind sparsity is reduced.

Incipient Broken Rotor Bar Detection in Induction Motors Using Vibration Signals and the Orthogonal Matching Pursuit Algorithm

2018 ◽  
Vol 67 (9) ◽  
pp. 2058-2068 ◽  
Author(s):  
Carlos Morales-Perez ◽  
Jose Rangel-Magdaleno ◽  
Hayde Peregrina-Barreto ◽  
Juan Pablo Amezquita-Sanchez ◽  
Martin Valtierra-Rodriguez
Keyword(s):  
Induction Motors ◽  
Matching Pursuit ◽  
Orthogonal Matching Pursuit ◽  
Vibration Signals ◽  
Broken Rotor Bar ◽  
Matching Pursuit Algorithm
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