Title :
A note on the sampling principle for continuous signals
Author :
Balakrishnan, A.V.
fDate :
6/1/1957 12:00:00 AM
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;
Journal_Title :
Information Theory, IRE Transactions on
DOI :
10.1109/TIT.1957.1057404