Time-frequency analysis of laser-excited surface acoustic waves based on synchrosqueezing transform

Ultrasonics ◽  
2020 ◽  
Vol 106 ◽  
pp. 106147 ◽  
Author(s):  
Zaiwei Liu ◽  
Bin Lin ◽  
Xiaohu Liang ◽  
Anyao Du
Keyword(s):  
Frequency Analysis ◽  
Acoustic Waves ◽  
Surface Acoustic Waves ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Synchrosqueezing Transform

A Diagnostic Strategy via Multiresolution Synchrosqueezing Transform on Obsessive Compulsive Disorder

2021 ◽  
pp. 2150044
Author(s):  
Pinar Ozel ◽  
Ali Olamat ◽  
Aydin Akan
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Frequency Analysis ◽  
Diagnostic Strategy ◽  
Control Groups ◽  
Obsessive Compulsive ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Compulsive Disorder ◽  
Synchrosqueezing Transform ◽  
And Control

This research presents a new method for detecting obsessive–compulsive disorder (OCD) based on time–frequency analysis of multi-channel electroencephalogram (EEG) signals using the multi-variate synchrosqueezing transform (MSST). With the evolution of multi-channel sensor implementations, the employment of multi-channel techniques for the extraction of features arising from multi-channel dependency and mono-channel characteristics has become common. MSST has recently been proposed as a method for modeling the combined oscillatory mechanisms of multi-channel signals. It makes use of the concepts of instantaneous frequency (IF) and bandwidth. Electrophysiological data, like other nonstationary signals, necessitates both joint time–frequency analysis and independent time and frequency domain studies. The usefulness and effectiveness of a multi-variate, wavelet-based synchrosqueezing algorithm paired with a band extraction method are tested using electroencephalography data obtained from OCD patients and control groups in this research. The proposed methodology yields substantial results when analyzing differences between patient and control groups.

A Novel Approach for Seismic Time-Frequency Analysis Based on High-Order Synchrosqueezing Transform

2018 ◽  
Vol 15 (8) ◽  
pp. 1159-1163 ◽  
Author(s):  
Wei Liu ◽  
Siyuan Cao ◽  
Zhiming Wang ◽  
Kangkang Jiang ◽  
Qingchen Zhang ◽  
...  
Keyword(s):  
Frequency Analysis ◽  
High Order ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Novel Approach ◽  
Synchrosqueezing Transform
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