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Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples
Nonstationary signal analysis is one of the main topics in the field of machinery fault
diagnosis. Time–frequency analysis can identify the signal frequency components, reveals …
diagnosis. Time–frequency analysis can identify the signal frequency components, reveals …
Algorithms for automatic analysis and classification of heart sounds–a systematic review
Cardiovascular diseases currently pose the highest threat to human health around the
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …
Time-frequency super-resolution with superlets
Abstract Due to the Heisenberg–Gabor uncertainty principle, finite oscillation transients are
difficult to localize simultaneously in both time and frequency. Classical estimators, like the …
difficult to localize simultaneously in both time and frequency. Classical estimators, like the …
Time-Frequency Analysis: What We
L Cohen - Landscapes of Time-Frequency Analysis: ATFA 2019, 2020 - books.google.com
We discuss the basic ideas and motivations of time-frequency analysis from the point of view
of what is known, what is not, what is mathematically possible, and what is not. We address …
of what is known, what is not, what is mathematically possible, and what is not. We address …
Wavelets and signal processing
A simple, nonrigorous, synthetic view of wavelet theory is presented for both review and
tutorial purposes. The discussion includes nonstationary signal analysis, scale versus …
tutorial purposes. The discussion includes nonstationary signal analysis, scale versus …
Improving the readability of time-frequency and time-scale representations by the reassignment method
In this paper, the use of the reassignment method, first applied by Kodera, Gendrin, and de
Villedary (1976) to the spectrogram, is generalized to any bilinear time-frequency or time …
Villedary (1976) to the spectrogram, is generalized to any bilinear time-frequency or time …
The synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications
We analyze the stability properties of the Synchrosqueezing transform, a time-frequency
signal analysis method that can identify and extract oscillatory components with time-varying …
signal analysis method that can identify and extract oscillatory components with time-varying …
[HTML][HTML] Consumer behaviour towards organic products: The moderating role of environmental concern
S Cachero-Martínez - Journal of Risk and Financial Management, 2020 - mdpi.com
The pandemic caused by COVID-19 has changed the mindset of many consumers. They are
increasingly aware of the risks of not caring for the planet. Before the pandemic, there was a …
increasingly aware of the risks of not caring for the planet. Before the pandemic, there was a …
Joint time-frequency analysis
S Qian, D Chen - IEEE signal processing magazine, 1999 - ieeexplore.ieee.org
It has been well understood that a given signal can be represented in an infinite number of
different ways. Different signal representations can be used for different applications. For …
different ways. Different signal representations can be used for different applications. For …
The chirplet transform: Physical considerations
S Mann, S Haykin - IEEE Transactions on Signal Processing, 1995 - ieeexplore.ieee.org
We consider a multidimensional parameter space formed by inner products of a
parameterizable family of chirp functions with a signal under analysis. We propose the use …
parameterizable family of chirp functions with a signal under analysis. We propose the use …