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The Fractional Fourier Transform: with Applications in Optics and Signal Processing

TLDR
The fractional Fourier transform (FFT) as discussed by the authors has been used in a variety of applications, such as matching filtering, detection, and pattern recognition, as well as signal recovery.
Abstract
Preface. Acknowledgments. Introduction. Signals, Systems, and Transformations. Wigner Distributions and Linear Canonical Transforms. The Fractional Fourier Transform. Time-Order and Space-Order Representations. The Discrete Fractional Fourier Transform. Optical Signals and Systems. Phase-Space Optics. The Fractional Fourier Transform in Optics. Applications of the Fractional Fourier Transform to Filtering, Estimation, and Signal Recovery. Applications of the Fractional Fourier Transform to Matched Filtering, Detection, and Pattern Recognition. Bibliography on the Fractional Fourier Transform. Other Cited Works. Credits. Index.

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Citations
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Journal ArticleDOI

Fractional discrete q-Fourier transforms

TL;DR: In this paper, the authors examined a family of q-extensions of the Mehta basis of the discrete Fourier transform (DFT) matrix and suggested that the account of fractional Fourier transformations applied on signals may be biased because the support of the function lies in the central part of the domain.

Efficient way of image encryption using generalized weighted fractional fourier transform with double random phase encoding

TL;DR: The GWFRFT is developed which is based on the properties of conventional FRFT and the random phase encoding technique in FRFT domain is discussed and random phase encode technique in GWFR FT domain is studied.
Journal ArticleDOI

ABORT-like detector to combat active deceptive jamming in a network of LFM radars

TL;DR: In this article, an adaptive detector exploiting generalized likelihood ratio test (GRLT) criterion is applied to detect the presence of deceptive jamming in fractional Fourier transform (FrFT) domain.
Proceedings ArticleDOI

A novel wavelet transform algorithm for image encryption

TL;DR: A high efficiency digital security system based on the discrete chirp parent wavelet transform (DCPWT) is introduced that is outstanding on two aspects: no iterations are needed and the image is recovered exactly (no information is lost).
DatasetDOI

N-dimensional Heisenberg’s uncertainty principle for fractional Fourier transform

Zhichao Zhang
TL;DR: In this article, a sharper uncertainty inequality which exhibits a lower bound larger than that in the classical N-dimensional Heisenberg's uncertainty principle is obtained, and extended from NDF to two NDF transform domains, and conditions that reach the equality relation of the uncertainty inequalities are deduced.
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