A chirplet transform-based mode retrieval method for multicomponent signals with crossover instantaneous frequencies
In nature and engineering world, the acquired signals are usually affected by multiple
complicated factors and appear as multicomponent nonstationary modes. In such and many …
complicated factors and appear as multicomponent nonstationary modes. In such and many …
Analysis of an adaptive short-time Fourier transform-based multicomponent signal separation method derived from linear chirp local approximation
Recently, a direct method of the time–frequency approach, called the signal separation
operator (SSO), which is based on sinusoidal signal approximation, was introduced to …
operator (SSO), which is based on sinusoidal signal approximation, was introduced to …
Time-scale-chirp_rate operator for recovery of non-stationary signal components with crossover instantaneous frequency curves
The objective of this paper is to introduce an innovative approach for the recovery of non-
stationary signal components with possibly crossover instantaneous frequency (IF) curves …
stationary signal components with possibly crossover instantaneous frequency (IF) curves …
Reducing Power Line Interference from sEMG Signals Based on Synchrosqueezed Wavelet Transform
J Chen, Y Sun, S Sun, Z Yao - Sensors, 2023 - mdpi.com
Power line interference (PLI) is a major source of noise in sEMG signals. As the bandwidth
of PLI overlaps with the sEMG signals, it can easily affect the interpretation of the signal. The …
of PLI overlaps with the sEMG signals, it can easily affect the interpretation of the signal. The …
Optimal compactness of fractional Fourier domain characterizes frequency modulated signals
The Fourier transform (FT) is a mathematical tool widely used in signal processing
applications; however, it presents limitations when dealing with non-stationary time series …
applications; however, it presents limitations when dealing with non-stationary time series …
Damage identification of thin plate-like structures combining improved singular spectrum analysis and multiscale cross-sample entropy (ISSA-MCSEn)
In this paper, a new method integrating the improved singular spectrum analysis and the
multiscale cross-sample entropy Improved Singular Spectrum Analysis and Multiscale Cross …
multiscale cross-sample entropy Improved Singular Spectrum Analysis and Multiscale Cross …
Separation of overlapping non-stationary signals and compressive sensing-based reconstruction using instantaneous frequency estimation
SM Shareef, MVG Rao - Digital Signal Processing, 2024 - Elsevier
Compressive sensing uses an incomplete sample set to consider signal reconstruction with
sparse basis representations over a specific transform domain. This work examines the …
sparse basis representations over a specific transform domain. This work examines the …
Shallow seafloor seismic wave monitoring using 3-component fiber optic interferometric accelerometer
T Chang, Y Yang, Z Luo, M Yu, Y Yuan… - Measurement …, 2021 - iopscience.iop.org
A fiber optic interferometric seismic monitoring system developed by us was deployed on the
shallow seafloor near the Wuchang oceanic monitoring station off the Hainan Island, in the …
shallow seafloor near the Wuchang oceanic monitoring station off the Hainan Island, in the …
Analysis of a direct separation method based on adaptive chirplet transform for signals with crossover instantaneous frequencies
In many applications, it is necessary to retrieve the sub-signal building blocks of a multi-
component signal, which is usually non-stationary in real-world and real-life applications …
component signal, which is usually non-stationary in real-world and real-life applications …
Enhanced time-frequency representation and mode decomposition
Time-frequency representation (TFR) plays a significant role in interpreting and analyzing
nonstationary multi-mode signals. However, currently, it is still challenging to handle multi …
nonstationary multi-mode signals. However, currently, it is still challenging to handle multi …