2000
DOI: 10.1364/josaa.17.000762
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Fast algorithm for chirp transforms with zooming-in ability and its applications

Abstract: A general fast numerical algorithm for chirp transforms is developed by using two fast Fourier transforms and employing an analytical kernel. This new algorithm unifies the calculations of arbitrary real-order fractional Fourier transforms and Fresnel diffraction. Its computational complexity is better than a fast convolution method using Fourier transforms. Furthermore, one can freely choose the sampling resolutions in both x and u space and zoom in on any portion of the data of interest. Computational result… Show more

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Cited by 36 publications
(27 citation statements)
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“…1(a). This assumption is used in all of the algorithms [1][2][3][4][5][6][7][8][9][10][11] in the literature. In this case the input CCM is…”
Section: ͑14͒mentioning
confidence: 99%
See 2 more Smart Citations
“…1(a). This assumption is used in all of the algorithms [1][2][3][4][5][6][7][8][9][10][11] in the literature. In this case the input CCM is…”
Section: ͑14͒mentioning
confidence: 99%
“…(17) and should use whatever a priori knowledge is available to define the correct initial elements of the CCM. In Section 5 we will optimize the existing algorithms [11][12][13][14][15][16][17][18][19][20][21] to allow for a nonrectangular initial WDF.…”
Section: ͑17͒mentioning
confidence: 99%
See 1 more Smart Citation
“…Modification of this transform for zero-shift parameters is also known under the names of "chirp z-transform" (see [11,12]) and "fractional discrete Fourier transform." The first name is associated with the way to compute it efficiently (see (3.30)).…”
Section: D Scaled Dftmentioning
confidence: 99%
“…As such, issues relating to their numerical approximation have been explored in depth by the optics community, in terms of sampling the signals [3][4][5][6][7][8][9], defining discrete approximations to the transforms [10][11][12][13][14][15], and developing fast algorithms to evaluate these discrete LCTs [4,8,11,12,16]. Most of the proposed fast algorithms decompose the optical system into an equivalent concatenation of subsystems for which established algorithms are known.…”
mentioning
confidence: 99%