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Discrete fractional Fourier transform based on the eigenvectors of tridiagonal and nearly tridiagonal matrices by Magdy Tawfik Hanna; Nabila Philip Attalla Seif; Waleed Abd El Maguid Ahmed is a Computer Science article available to read on EtoBox.
What is Discrete fractional Fourier transform based on the eigenvectors of tridiagonal and nearly tridiagonal matrices about?
tridiagonal matrix Circular flip matrix Hermite-Gaussian-like eigenvectors The recent emergence of the discrete fractional Fourier transform (DFRFT) has caused a revived interest in the eigenanalysis of the discrete Fourier transform (DFT) matrix F with the objective of generating orthonormal Hermite-Gaussian-like eigenvectors. The Grünbaum tridiagonal matrix T-which commutes with matrix F-has only one repeated eigenvalue with multiplicity two and simple remaining eigenvalues. A detailed eigendecomposition of matrix T is performed with the objective of deriving two orthonormal eigenvectors-common to both the F and T matrices-pertaining to the repeated eigenvalue of T. The nearly tridiagonal matrix S first introduced by Dickinson and Steiglitz and later studied by Candan et al.-which commutes with matrix F-is rigorously proved to reduce to a 2 × 2 block diagonal form by means of a similarity transformation defined in terms of an involutary matrix P. Moreover explicit expressions are derived for the elements of the two tridiagonal submatrices forming the two diagonal blocks in order to circumvent the need for performing two matrix multiplications. Although matrix T has the merit of b
Who reads Discrete fractional Fourier transform based on the eigenvectors of tridiagonal and nearly tridiagonal matrices?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Magdy Tawfik Hanna; Nabila Philip Attalla Seif; Waleed Abd El Maguid Ahmed
- Publisher
- Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 1051-2004)
- Published
- 2008
- Language
- EN
- Field
- Computer Science (Physical Sciences)
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