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Wavelet transform is a tool for time-frequency localization.
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As FrFT is related to the Wigner distribution [1], it is a powerful tool for time-frequency analysis, for example, chirp rate estimation [4].
In the following, we briefly present the Discrete Evolutionary Transform (DET) as a tool for the time-frequency representation of time-varying MIMO-OFDM channels.
In the following, we briefly explain the Discrete Evolutionary Transform (DET) as a tool for the time-frequency representation of image sequences.
On the other hand, the short-time Fourier transform (STFT), as a tool of the time-frequency analysis, contains localized time and frequency information of a function.
It is a new method applicable for time-frequency analysis of nonstationary and nonlinear time series.
We used a tool for computing substitution frequencies and stationary properties from dinucleotide frequencies in a three-species alignment (Arndt et al. 2003; Duret and Arndt 2008).
Several FFQ are available to investigators to use as a tool for assessing the frequency and amount of nutrient intake.
Wavelets [17] are a mathematical tool for time-scale signal analysis: at large scale, low frequencies present in the signal can be readily extracted, while small scale analysis detects high frequency components.
The paper presents a simple and easy way to use a tool for hand selection and tracking of desired components, thus making complex time-frequency filtration easy.
Synchrosqueezing is a powerful time-frequency analysis tool for signals with time-varying frequency.
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