2012
DOI: 10.1007/s11760-012-0348-7
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Generalized convolution and product theorems associated with linear canonical transform

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Cited by 61 publications
(37 citation statements)
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“…0 ( )is the LCT of ( ) [13][14][15][16][17][18], satisfying 0 0 − 0 0 . From the LCT domain the canonical convolution with matrix parameter is defined as [2,20] …”
Section: 1linear Canonical Wavelet Transformmentioning
confidence: 99%
“…0 ( )is the LCT of ( ) [13][14][15][16][17][18], satisfying 0 0 − 0 0 . From the LCT domain the canonical convolution with matrix parameter is defined as [2,20] …”
Section: 1linear Canonical Wavelet Transformmentioning
confidence: 99%
“…Moreover, convolution and correlation are widely used in signal processing, as well as in optics, in pattern recognition or in the description of image formation with incoherent illumination [16,[24][25][26][27][28][29][30]. The convolution operation in FT domain is defined as…”
Section: The Convolution Theorymentioning
confidence: 99%
“…In addition, convolution theorems for the specific SAFT case FRFT can also be obtained from the above-derived theorems [25][26][27][28]. …”
Section: Corollarymentioning
confidence: 99%
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“…When we select Gaussian window, the STFT becomes the Gabor transform (GT). In recent years, with the development of nonstationary signal processing technology, the linear canonical transform (LCT) was developed by many scholars [2][3][4][5][6][7][8][9]. It is a generalized form of the FT and the Fractional Fourier transform (FRFT) and has been considered to be a powerful analyzing tool in signal processing and optics [10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%