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
satisfy
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.
satisfy
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
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