[图书][B] Time-frequency analysis techniques and their applications
RB Pachori - 2023 - taylorfrancis.com
Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …
include biomedical signals, communication signals, speech, earthquake signals, vibration …
Enhanced drive‐by bridge modal identification via dual Kalman filter and singular spectrum analysis
The drive‐by bridge health monitoring is to assess the bridge condition using the
acceleration responses measured on the body or axle of instrumented vehicles. The vehicle …
acceleration responses measured on the body or axle of instrumented vehicles. The vehicle …
A frequency sweep location method for soft faults of power cables based on MUSIC-pseudospectrum
Z Tang, Y Xu, K Zhou, P Meng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the spurious peaks caused by multireflection and the randomness of the cable
transfer function, the frequency domain reflectometry (FDR) method based on Fourier …
transfer function, the frequency domain reflectometry (FDR) method based on Fourier …
LBP-based information assisted intelligent system for COVID-19 identification
A real-time COVID-19 detection system is an utmost requirement of the present situation.
This article presents a chest X-ray image-based automated COVID-19 detection system …
This article presents a chest X-ray image-based automated COVID-19 detection system …
Successive variational mode decomposition-based enhanced Wigner-Ville distribution for seismo-volcanic events identification
Seismicity offers valuable information on the internal activity of volcanoes and the
interpretation of seismic signals is crucial for volcano monitoring. As the seismic signal is …
interpretation of seismic signals is crucial for volcano monitoring. As the seismic signal is …
Sliding eigenvalue decomposition-based cross-term suppression in Wigner–Ville distribution
VK Singh, RB Pachori - Journal of Computational Electronics, 2021 - Springer
In this paper, a new method for the cross-term-free Wigner–Ville distribution (WVD) is
proposed. The proposed method is based on sliding eigenvalue decomposition (SEVD) and …
proposed. The proposed method is based on sliding eigenvalue decomposition (SEVD) and …
Suppression of false-terms in wigner-ville distribution using time and frequency windowing
The Wigner-Ville distribution (WVD) is a widely used tool in the time-frequency analysis of
non-stationary signals. However, the presence of false-terms in WVD for multicomponent …
non-stationary signals. However, the presence of false-terms in WVD for multicomponent …
A defect location method for power cable based on Burg power spectral
Z Tang, K Zhou, Y Li, P Meng - Engineering Reports, 2024 - Wiley Online Library
The frequency‐domain reflection (FDR) has been demonstrated to be a trustworthy
technique in solving the defect location of power cable by field experiments. However, the …
technique in solving the defect location of power cable by field experiments. However, the …
ALS Detection Framework Based on Automatic Singular Spectrum Analysis and Quantum Convolutional Neural Network from EMG Signals
Electromyogram (EMG) signals are recordings of the electrical activity in muscles, which are
studied due to their informative nature regarding neuromuscular disorders. Analysis of EMG …
studied due to their informative nature regarding neuromuscular disorders. Analysis of EMG …
Cross-terms reduction in WVD using sliding window-based variational mode decomposition
Wigner-Ville distribution (WVD) has become one of the powerful tools in the time-frequency
analysis of non-stationary signals. Still, the presence of cross-terms in WVD for multi …
analysis of non-stationary signals. Still, the presence of cross-terms in WVD for multi …