MODELING OF SIGNALS IN DISCONTINUOUS OBSERVATIONS.

Adrian Segall, Thomas Kailath

Research output: Contribution to conferencePaperpeer-review

Abstract

A general model for describing signals in jump-type observations is presented. It is shown that a martingale model includes all the previously proposed ones and also covers the difficult case of ″past-dependent″ signals that arises in feedback communication and control problems. Because of its similarity to the well-known signal-in-additive-white-Gaussian-noise model, this model can conveniently be used in solving problems of detection and estimation of signals in jump-type observations.

Original languageEnglish
Pages262-266
Number of pages5
StatePublished - 1974
EventSymp on Nonlinear Estim Theory and Its Appl, 4th, Proc, Pap - San Diego, CA, USA
Duration: 10 Sep 197312 Sep 1973

Conference

ConferenceSymp on Nonlinear Estim Theory and Its Appl, 4th, Proc, Pap
CitySan Diego, CA, USA
Period10/09/7312/09/73

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