Title :
2-D arithmetic Fourier transform algorithm
Author :
Huisheng, Qian ; Ping, Li
Author_Institution :
Zhejiang Univ. of Technol., Hangzhou, China
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;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567068