2016
DOI: 10.1007/s11082-016-0685-9
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A convolution-based fractional transform

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Cited by 7 publications
(4 citation statements)
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“…The earlier work on the linear canonical wavelet transform was published by authors [15,30,43,44]. The wavelet transform has major applications in the field of image and signal processing, mathematical analysis, communications, radar and other [7,13,19,21,37,39,40]. Let (W A ψ 1 ϕ)(β, α) and (W A ψ 2 ϕ)(ρ, γ) be two LCWT of a function ϕ ∈ L 2 (R) w.r.t.…”
Section: Definition 21 (Admissibility Condition)mentioning
confidence: 99%
“…The earlier work on the linear canonical wavelet transform was published by authors [15,30,43,44]. The wavelet transform has major applications in the field of image and signal processing, mathematical analysis, communications, radar and other [7,13,19,21,37,39,40]. Let (W A ψ 1 ϕ)(β, α) and (W A ψ 2 ϕ)(ρ, γ) be two LCWT of a function ϕ ∈ L 2 (R) w.r.t.…”
Section: Definition 21 (Admissibility Condition)mentioning
confidence: 99%
“…The random phase masks serve as ciphering keys are employed in image/Fourier planes. Since then, several optical image cryptosystems have been considered like holography [13], optical transforms [1][2][3][4][5][8][9][10][11][12][13][14][15], and interference [18]. In [19], the authors present a virtual optics scheme to encrypt digital audio using the virtual optical scheme parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Among orthogonal transforms, fractional orthogonal transforms have been extensively applied in signal processing during the past decades. They include FrFT [21, 22], fractional cosine transform [23, 24], fractional sine transform [23, 24], fractional Hartley transform [23, 24], fractional Hilbert transform [25], fractional wavelet transform [26], fractional random transform [27], fractional Mellin transform [28], fractional Gabor transform [29], fractional S transform [30], convolution‐based fractional transform [31], multiple‐parameter FrFT (MPFrFT) [32–35], and so on. Mathematically, this kind of transforms, which is a generalisation of the corresponding conventional transforms, can be regarded as a rotation of signals in the time–frequency plane and therefore has attracted much attention [23].…”
Section: Introductionmentioning
confidence: 99%
“…To date, there are a number of papers involving the fractional transforms [21–35]. However, only FrFT has been used for quaternion signal processing under the name of fractional quaternion Fourier transform (FrQFT) [11–13].…”
Section: Introductionmentioning
confidence: 99%