Publication | Closed Access
A note on the sampling principle for continuous signals
129
Citations
3
References
1957
Year
Measure TheorySampling (Signal Processing)EngineeringInterpolation SpaceStochastic ProcessesContinuous SignalsIntegral InterpolationGaussian ProcessSampling TheoryStochastic AnalysisProbability TheorySampling PrincipleApproximation TheoryStatisticsNewton-gauss Interpolation Formula
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.
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