Time-Frequency/Time-Scale Analysis

@inproceedings{Flandrin1998TimeFrequencyTimeScaleA,
  title={Time-Frequency/Time-Scale Analysis},
  author={Patrick Flandrin},
  year={1998},
  url={https://api.semanticscholar.org/CorpusID:60457766}
}

Time-Frequency/Time-Scale Reassignment

This chapter reviews the reassignment principle, which aims at “sharpening” time-frequency and time-scale representations in order to improve their readability.

ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform

A new method is proposed to determine the time–frequency content of time-dependent signals consisting of multiple oscillatory components, with time-varying amplitudes and instantaneous frequencies.

Linear Time-Frequency Representation

This chapter contains sections titled: Introduction The Short-Time Fourier Transform Time-Frequency Resolution Multiresolution Analysis Wavelet Transform and Discrete Filter Banks Matching Pursuit Applications to Biomedical Signals Conclusions.

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The Synchrosqueezing transform for instantaneous spectral analysis

An overview of the theory and stability properties of Synchrosqueezing, as well as applications of the technique to topics in cardiology, climate science, and economics are presented.

A modified time-frequency method for testing wide-sense stationarity

Two contributions are presented that improve the test performance and allow the detection of first-order evolutions and an adequate distance measure is presented to use in order to consider the spectral content from the signal itself when computing the distances.

Presentation of Joint Time-Frequency Distributions on the Basis of Indicative and Power-Transformation of their Density of them in Time-Frequency Space: Completion of Review

In this article it is presented an analytical overview of original methods for increasing the contrast of joint distribution matrices using the demonstrative and exponential transformations of their

Time-Frequency Foundations of Communications: Concepts and Tools

Hitherto communication theory was based on two alternative methods of signal analysis, but everyday experiences insist on a description of the signal as a function of time, in terms of both time and frequency.
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