DocumentCode
943893
Title
A note on the sampling principle for continuous signals
Author
Balakrishnan, A.V.
Volume
3
Issue
2
fYear
1957
fDate
6/1/1957 12:00:00 AM
Firstpage
143
Lastpage
146
Abstract
Two sampling (integral interpolation) theorems for continuous signals (continuous parameter stochastic processes) are proved. The first of these is the sampling principle introduced by Shannon, precise formulation or proof of which has not appeared hitherto. Obtained as a secondary result in this connection is a generalization of a result on the spectra of sampled signals given by Bennet. The second theorem is a stochastic version of the Newton-Gauss interpolation formula as representative of a different class of sampling theorems.
Keywords
Signal sampling/reconstruction; Stochastic signals; Equations; Gaussian processes; Information theory; Interpolation; Least squares methods; Newton method; Recursive estimation; Sampling methods; Signal processing; Signal sampling; Stochastic processes;
fLanguage
English
Journal_Title
Information Theory, IRE Transactions on
Publisher
ieee
ISSN
0096-1000
Type
jour
DOI
10.1109/TIT.1957.1057404
Filename
1057404
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