DocumentCode
793628
Title
Discrete Generalized Fresnel Functions and Transforms in an Arbitrary Discrete Basis
Author
Aizenberg, Igor ; Astola, Jaakko T.
Author_Institution
Dept. of Comput. & Inf. Sci., Texas A&M Univ., Texarkana, TX
Volume
54
Issue
11
fYear
2006
Firstpage
4261
Lastpage
4270
Abstract
The idea of generalized Fresnel functions, which traces back to expressing a discrete transform as a linear convolution, is developed in this paper. The generalized discrete Fresnel functions and the generalized discrete Fresnel transforms for an arbitrary basis are considered. This problem is studied using a general algebraic approach to signal processing in an arbitrary basis. The generalized Fresnel functions for the discrete Fourier transform (DFT) are found, and it is shown that DFT of even order has two generalized Fresnel functions, while DFT of odd order has a single generalized Fresnel function. The generalized Fresnel functions for the conjunctive and Walsh transforms and the generalized Fresnel transforms induced by these functions are considered. It is shown that the generalized Fresnel transforms induced by the Walsh basis and the corresponding generalized Fresnel functions are unitary and that the generalized Fresnel transforms induced by the conjunctive basis and the corresponding generalized Fresnel functions consist of powers of the golden ratio. It is also shown that the Fresnel transforms induced by the generalized Fresnel functions for the Walsh and conjunctive transforms have fast algorithms
Keywords
Walsh functions; convolution; discrete Fourier transforms; DFT; Walsh transforms; arbitrary discrete basis; discrete Fourier transform; discrete generalized Fresnel functions; generalized discrete Fresnel transforms; linear convolution; Chirp; Convolution; Discrete Fourier transforms; Discrete transforms; Fourier transforms; Holographic optical components; Holography; Optical signal processing; Signal processing; Signal processing algorithms; Digital convolution Fresnel function; Fourier transform; Walsh transform;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2006.881189
Filename
1710372
Link To Document