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Compressive sensing meets time–frequency: An overview of recent advances in time–frequency processing of sparse signals
Compressive sensing is a framework for acquiring sparse signals at sub-Nyquist rates. Once
compressively acquired, many signals need to be processed using advanced techniques …
compressively acquired, many signals need to be processed using advanced techniques …
Natural gas pipeline small leakage feature extraction and recognition based on LMD envelope spectrum entropy and SVM
As it is difficult to identify the scale and aperture of small leaks occurring in a natural gas
pipeline, this paper proposes a small leak feature extraction and recognition method based …
pipeline, this paper proposes a small leak feature extraction and recognition method based …
Time-varying frequency-modulated component extraction based on parameterized demodulation and singular value decomposition
To analyze the valuable frequency component for time-varying frequency-modulated (FM)
signals, component extraction is necessary in most applications. Considering the advantage …
signals, component extraction is necessary in most applications. Considering the advantage …
Application of parameterized time-frequency analysis on multicomponent frequency modulated signals
Parameterized time-frequency (TF) transforms, with signal-dependent kernel parameters,
have been proposed to analyze multicomponent frequency modulated (FM) signals. Usually …
have been proposed to analyze multicomponent frequency modulated (FM) signals. Usually …
Detection of contact wire irregularities using a quadratic time–frequency representation of the pantograph–catenary contact force
As for the rapid expansion of high-speed electrified railway industry, the current collection
quality of electric locomotives becomes one of the crucial technical issues for the stable …
quality of electric locomotives becomes one of the crucial technical issues for the stable …
Nonlinear time-frequency iterative learning control for micro-robotic deposition system using adaptive Fourier decomposition approach
WY Fu - Nonlinear Dynamics, 2023 - Springer
This study presents a cutting-edge approach to design iterative learning control (ILC) in
micro-robotic deposition systems, utilizing nonlinear time-frequency analysis through …
micro-robotic deposition systems, utilizing nonlinear time-frequency analysis through …
[PDF][PDF] Time-frequency signal analysis
This book is a result of more than twenty years of research and education in the area of time-
frequency signal analysis and signal theory, in general. The book presents time-frequency …
frequency signal analysis and signal theory, in general. The book presents time-frequency …
Arrhythmia detection based on time–frequency features of heart rate variability and back-propagation neural network
This paper presents a novel method for detection of arrhythmia using adaptive continuous
Morlet wavelet transform and back-propagation neural network. The detection is based on …
Morlet wavelet transform and back-propagation neural network. The detection is based on …
Extraction of useful information content from noisy signals based on structural affinity of clustered TFDs' coefficients
This paper proposes an automatic method for extraction of useful information content from
time-frequency distributions of nonstationary signals heavily corrupted by additive noise …
time-frequency distributions of nonstationary signals heavily corrupted by additive noise …
Sparse time–frequency representation for signals with fast varying instantaneous frequency
Time–frequency (TF) distributions have been used for providing high‐resolution
representation in a large number of signal processing applications. However, high …
representation in a large number of signal processing applications. However, high …