DocumentCode :
787747
Title :
A Fourier-domain formula for the least-squares projection of a function onto a repetitive basis in N-dimensional space
Author :
Oakley, John Peter ; Cunningham, Michael John ; Little, Graham
Author_Institution :
Manchester Univ., UK
Volume :
38
Issue :
1
fYear :
1990
fDate :
1/1/1990 12:00:00 AM
Firstpage :
114
Lastpage :
120
Abstract :
A theorem concerning the least-squares projection of an arbitrary function onto an infinite basis of translated function is given. The theorem provides an explicit formula for the Fourier transform, of the projected function. The formula has the advantage of being valid for least-squares projections in any N-dimensional space. The expression for the projected function can be approximately inverted, using the discrete Fourier transform, to find the actual basis coefficients
Keywords :
fast Fourier transforms; least squares approximations; signal processing; FFT; Fourier-domain formula; LSA; N-dimensional space; basis coefficients; discrete Fourier transform; explicit formula; least-squares projection; projected function; repetitive basis; signal processing; translated function infinite basis; Application software; Books; Computer graphics; Computer vision; Discrete Fourier transforms; Fourier transforms; Image processing; Lattices; Spline; Surface fitting;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/29.45623
Filename :
45623
Link To Document :
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