2022
DOI: 10.1016/j.amc.2021.126812
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On the clifford short-time fourier transform and its properties

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Cited by 7 publications
(3 citation statements)
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“…The authors of [5] used the properties of STFT and 2D-complex Hermite polynomials to compute the spectrogram of white noise with Hermite windows. In the quaternionic and Clifford settings various counterparts of the short-time Fourier transform were developed recently in [19,20,21]. We refer to the book [30] and the references therein for further discussions on the STFT and related topics in time-frequency analysis.…”
Section: Introductionmentioning
confidence: 99%
“…The authors of [5] used the properties of STFT and 2D-complex Hermite polynomials to compute the spectrogram of white noise with Hermite windows. In the quaternionic and Clifford settings various counterparts of the short-time Fourier transform were developed recently in [19,20,21]. We refer to the book [30] and the references therein for further discussions on the STFT and related topics in time-frequency analysis.…”
Section: Introductionmentioning
confidence: 99%
“…It is used in several applications such as the predictions of sound source position emanated by fault machine [38] and the interpretation of ultrasonic waveforms [35]. The short-time Fourier transform has been studied in quaternionic and Clifford settings in [11,22,23]. In particular in [23] we gave a definition of a quaternionic short-time Fourier transform (QSTFT) in dimension one for a Gaussian window.…”
mentioning
confidence: 99%
“…Using the second one a quaternionic short-time Fourier transform in dimension 2 is studied in [5]. In the paper [16] the same transform is defined in a Clifford se ing for even dimension more than two. In this paper we introduce an extension of the short-time Fourier transform in a quaternionic se ing in dimension one.…”
mentioning
confidence: 99%