Title :
On the filtering of noise-contaminated signals observed via hard limiters
Author_Institution :
Lab. for Inf. & Decision Systems, MIT, Cambridge, MA, USA
fDate :
9/1/1988 12:00:00 AM
Abstract :
The problem of signal estimation from a measurement of its noise crossings is considered, following a nonlinear filtering approach that is different from the classical Davenport method. By focusing on a specific noise model and applying recent results on the excursions of a Brownian motion, an exact representation of the optimal filter is derived. Various extensions of the results are considered
Keywords :
Brownian motion; filtering and prediction theory; interference (signal); signal processing; Brownian motion; hard limiters; noise crossings; noise-contaminated signals; nonlinear filtering; signal estimation; Additive noise; Bandwidth; Filtering; Helium; Narrowband; Noise level; Noise measurement; Pollution measurement; Signal to noise ratio; Wideband;
Journal_Title :
Information Theory, IEEE Transactions on
