Results 91 to 100 of about 752 (176)
The Fractional Fourier Transform and Its Application to Energy Localization Problems
EURASIP Journal on Advances in Signal Processing, 2003 Applying the fractional Fourier transform (FRFT) and the Wigner distribution on a signal in a cascade fashion is equivalent to a rotation of the time and frequency parameters of the Wigner distribution.
ter Morsche Hennie G, Oonincx Patrick J
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Shift-invariance of short-time Fourier transform in fractional Fourier domains [PDF]
, 2009 Fractional Fourier domains form a continuum of domains making arbitrary angles with the time or frequency domains on the time-frequency plane. Signal representations in these domains are related to the fractional Fourier transform (FrFT).
Durak, Lütfiye
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Significance of Weighted-Type Fractional Fourier Transform in FIR Filters [PDF]
, 2015 The desired frequency response of a filter is periodic in frequency and can be expanded in Fourier series. One possible way of obtaining FIR filter is to truncate the infinite Fourier series.
Muralidhar, P.V.; Aditya Institute of Technology And Management, Srikakulam, Andhra Pradesh +1 more
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High-sensitive state perception method for inverter-fed machine turn insulation based on FrFT-Mel
Global Energy InterconnectionAmidst the swift advancement of new power systems and electric vehicles, inverter-fed machines have progressively materialized as a pivotal apparatus for efficient energy conversion.
Ruitian Fan +5 more
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Maejo International Journal of Science and Technology, 2009 The behaviour of harmonic and chirp functions was studied on the time-frequency plane with the help of fractional Fourier transform (FRFT). Studies were also carried out through simulation with different numbers of samples of the functions. Variations were observed in the maximum side-lobe level (MSLL), half main-lobe width (HMLW) and side-lobe fall ...
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The FrFT convolutional face: toward robust face recognition using the fractional Fourier transform and convolutional neural networks [PDF]
Science China Information Sciences, 2019 Xin Wu 0001 +3 more
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Trainable fractional Fourier transform [PDF]
Recently, the fractional Fourier transform (FrFT) has been integrated into distinct deep neural network (DNN) models such as transformers, sequence models, and convolutional neural networks (CNNs).
Koç, Emirhan +3 more
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Ultrasonic Detection of Erosion on Pipe Elbow based on FrFT Filtering
Shiyou jixie, 2022 As a low cost and high-efficiency nondestructive testing technology, ultrasonic non-axisymmetric exciting guided wave can detect the thinned section of pipe elbow.
Li Ning +4 more
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DFRFT: A Classified Review of Recent Methods with Its Application
Journal of Engineering, 2013 In the literature, there are various algorithms available for computing the discrete fractional Fourier transform (DFRFT). In this paper, all the existing methods are reviewed, classified into four categories, and subsequently compared to find out the ...
Ashutosh Kumar Singh, Rajiv Saxena
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Hyperspectral Image Classification Based on Fractional Fourier Transform
Remote SensingTo effectively utilize the rich spectral information of hyperspectral remote sensing images (HRSIs), the fractional Fourier transform (FRFT) feature of HRSIs is proposed to reflect the time-domain and frequency-domain characteristics of a spectral pixel ...
Jing Liu, Lina Lian, Yuanyuan Li, Yi Liu
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