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Their investigation was based on AR model parameters computed by quasi-stationary processing.
This paper focuses on wide-sense stationary signal processing within a compressive sensing framework, proposing a new method of compressive sampling fast Fourier transform (FFT) accumulation method (CS-FAM).
Multiwavelets can act as adaptive non-stationary signal processing tools, potentially viable for weak fault diagnosis.
Time varying higher order spectra (TVHOS) are designed for non-Gaussian non-stationary signal processing.
Non-stationary signal processing and analysis is one of the most hottest research topics in signal processing community.
Therefore, our proposed algorithm can be found more applicable for non-stationary signal processing, such as radar chirp signals.
The concept of mono-component is widely used in non-stationary signal processing and time-frequency analysis.
Compared with the traditional FT, the FRFT does better in non-stationary signals processing especially in the chirp-like signals processing.
Non-stationary signal processing techniques applied to electrophysiological signals have been successful in the assessment of important features of cardiovascular control physiology.
As one of the most powerful non-stationary signal processing techniques, wavelet transform (WT) has been extensively studied and widely applied in RMFD.
Many useful properties about the LCT [3, 4] show that the LCT is one of the most important non-stationary signal processing tools, the following additivity property and reversibility property associated with the LCT will be used this article.
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