DocumentCode :
1105702
Title :
An RKHS analysis of sampling theorems for harmonic-limited signals
Author :
Brown, J.L., Jr.
Author_Institution :
Air Force Institute of Technology, Wright Patterson Air Force Base, OH
Volume :
33
Issue :
2
fYear :
1985
fDate :
4/1/1985 12:00:00 AM
Firstpage :
437
Lastpage :
440
Abstract :
A T-periodic signal x(t) is said to be K-harmonic limited if, for some integer K > 0, its complex Fourier coefficients {c_{n}} satisfy c_{n} = 0 for |n| > K. Such signals may be completely reconstructed from a finite number of uniformly spaced signal samples taken over a period, a property which facilitates the representation of two-dimensional (polar form) signals used in computerized tomography. By employing a reproducing kernel Hilbert space (RKHS) setting, a generalized theorem for sampling harmonic-limited signals is derived. All the special representations which have appeared in the literature with separate proofs, including three recent versions, [1]-[3], are shown to be special cases of the generalized reconstruction formula. Connections with Fourier series theory and Kramer\´s generalized sampling theorem are also discussed.
Keywords :
Application software; Computed tomography; Fourier series; Frequency; Harmonic analysis; Interpolation; Lagrangian functions; Polynomials; Sampling methods; Signal analysis;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/TASSP.1985.1164566
Filename :
1164566
Link To Document :
بازگشت