DocumentCode
1694880
Title
2-D arithmetic Fourier transform algorithm
Author
Huisheng, Qian ; Ping, Li
Author_Institution
Zhejiang Univ. of Technol., Hangzhou, China
Volume
1
fYear
1996
Firstpage
147
Abstract
The arithmetic Fourier transform (AFT) is a number-theoretic approach to Fourier analysis which has been shown to perform competitively with the classical FFT. A 2-D AFT algorithm using same method is developed on the basis of a 1-D AFT algorithm. The analysis of the complexity and the architecture of the 2-D AFT algorithm shows that 2-D AFT can also perform competitively with the classical 2-D FFT in terms of complexity and speed. Finally, a computer simulation shows the correction of this algorithm.
Keywords
Fourier analysis; computational complexity; digital arithmetic; fast Fourier transforms; parallel algorithms; signal processing; 1D AFT algorithm; 2D arithmetic Fourier transform algorithm; FFT; Fourier analysis; complexity; computer simulation; number-theoretic approach; parallel processing; signal processing; speed; Arithmetic; Fourier transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.567068
Filename
567068
Link To Document