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
Link To Document :
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