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Proceedings ArticleDOI

Complete analysis of the Eigen functions of Fourier transform

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TLDR
The extended theory of systematic construction of Eigen function concept for sine and cosine functions was applied and the necessary expressions for complex Eigen functions when function f1 is even and function f2 is odd vice versa were derived.
Abstract
In this paper, we proposed an analysis of Eigen functions of the n-Dimensional Fourier transform. We extended the theory developed in our previous publication [1]. We applied our extended theory of systematic construction of Eigen function concept for sine and cosine functions. We explained the concept in a clear way through example construction of Eigen functions of 1-D and 2-D Fourier transform for real even case with negative Eigen value. PP Vaidyanathan discussed in his paper [2] that construction of complex Eigen function f1+ jf2 is possible when both functions f1 and f2 are either real even or real odd. But he didn't discuss what will happen when f1 and f2 are different. We subjected this concept and derived the necessary expressions for complex Eigen functions when function f1 is even and function f2 is odd vice versa.

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References
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Journal ArticleDOI

A theory for multiresolution signal decomposition: the wavelet representation

TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Book

Digital Image Processing Using MATLAB

TL;DR: 1. Fundamentals of Image Processing, 2. Intensity Transformations and Spatial Filtering, and 3. Frequency Domain Processing.
Journal ArticleDOI

Eigenvalue and eigenvector decomposition of the discrete Fourier transform

TL;DR: The eigenvalues of a suitably normalized version of the discrete Fourier transform (DFT) are {1, -1,j, -j} and an eigenvector basis is constructed for the DFT.
Journal ArticleDOI

Two dimensional discrete fractional Fourier transform

TL;DR: This paper develops a 2D DFRFT which can preserve the rotation properties and provide similar results to continuous FRFT.
Journal ArticleDOI

Eigenfunctions of Fourier and Fractional Fourier Transforms With Complex Offsets and Parameters

TL;DR: The derived eigenfunctions of the Fourier transform, the fractional FT (FRFT), and the linear canonical transform (LCT) with complex parameters and complex offsets are derived and are found to be the smoothed Hermite-Gaussian functions with shifting and modulation.