Topic
Time–frequency analysis
About: Time–frequency analysis is a research topic. Over the lifetime, 5407 publications have been published within this topic receiving 104346 citations.
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TL;DR: The proposed synchrosqueezing generalized S-transform belongs to a postprocessing procedure of the GST and achieves a high resolution and has the potential in highlighting geological structures with high precision.
Abstract: In this letter, a new method is introduced for a seismic time–frequency (TF) analysis. The proposed method is called synchrosqueezing generalized S-transform (SSGST), which belongs to a postprocessing procedure of the GST. The frequency-dependent Gaussian window used in the standard S-transform may be not suitable for real applications. In order to overcome this limitation, the frequency-dependent Gaussian window is replaced by a parameterized function containing three parameters. These three parameters result in flexibility in the variation of TF resolution. Then, the synchrosqueezing transform is employed to squeeze the TF coefficients of the GST to achieve an energy-concentrated TF representation. Synthetic examples and field data show that the SSGST achieves a high resolution and has the potential in highlighting geological structures with high precision.
53 citations
TL;DR: In this paper, a joint time-frequency analysis based on the Gabor wavelet transform is employed for characterizing longitudinal, lateral and vertical vibrational modes propagating in rails in the 1000- 7000 Hz range.
53 citations
18 Mar 2005
TL;DR: A method to address the (inherently ill-posed) problem of missing data interpolation over repeated short gaps in audio signals by formulating the problem in terms of a Gabor regression model and showing that it is possible to leverage information from the surrounding time-frequency plane in order to obtain an interpolation in keeping with the qualities of the signal under consideration.
Abstract: We present a method to address the (inherently ill-posed) problem of missing data interpolation over repeated short gaps in audio signals. By formulating the problem in terms of a Gabor regression model, we show that it is possible to leverage information from the surrounding time-frequency plane in order to obtain an interpolation in keeping with the qualities of the signal under consideration. As an exploratory investigation of this technique's potential, we consider two example restoration scenarios in which over one third of the data values in total are missing.
52 citations
TL;DR: In this paper, the Hilbert-Huang transform (HHT) was adopted to analyze the non-stationary characteristics of wind speed and wind-induced responses of this building under typhoon conditions.
52 citations
TL;DR: Two types of time–frequency (TF) blind source separation (BSS) methods suited to attenuated and delayed (AD) mixtures, especially suited to non-stationary sources are proposed and derive their performance from many tests performed with AD mixtures of speech signals.
52 citations