DocumentCode
431891
Title
Discrete fractional Fourier transform based on new nearly tridiagonal commuting matrices
Author
Pei, Soo-Chang ; Hsue, Wen-Liang ; Ding, Jian-Jiun
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume
4
fYear
2005
fDate
18-23 March 2005
Abstract
Based on discrete Hermite-Gaussian like functions, a discrete fractional Fourier transform (DFRFT) which provides sample approximations of the continuous fractional Fourier transform was defined and investigated recently. In this paper, we propose a new nearly tridiagonal matrix which commutes with the discrete Fourier transform (DFT) matrix. The eigenvectors of the new nearly tridiagonal matrix are shown to be better discrete Hermite-Gaussian like functions than those developed before. Furthermore, by appropriately combining two linearly independent matrices which both commute with the DFT matrix, we develop a method to obtain even better discrete Hermite-Gaussian like functions. Then, new versions of DFRFT produce their transform outputs more close to the samples of the continuous fractional Fourier transform, and their application is illustrated.
Keywords
Gaussian distribution; Hermitian matrices; discrete Fourier transforms; eigenvalues and eigenfunctions; function approximation; signal sampling; DFRFT; DFT matrix; continuous fractional Fourier transform; discrete Hermite-Gaussian like functions; discrete fractional Fourier transform; eigenvectors; linearly independent matrices; nearly tridiagonal commuting matrices; nearly tridiagonal matrix; sample approximations; Discrete Fourier transforms; Eigenvalues and eigenfunctions; Fourier transforms; Kernel; Neural networks; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1416026
Filename
1416026
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