MODELING OF SIGNALS IN DISCONTINUOUS OBSERVATIONS.

Adrian Segall; Thomas Kailath

MODELING OF SIGNALS IN DISCONTINUOUS OBSERVATIONS.

Adrian Segall
, Thomas Kailath

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	262-266
Number of pages	5
State	Published - 1974
Event	Symp on Nonlinear Estim Theory and Its Appl, 4th, Proc, Pap - San Diego, CA, USA Duration: 10 Sep 1973 → 12 Sep 1973

Conference

Conference	Symp on Nonlinear Estim Theory and Its Appl, 4th, Proc, Pap
City	San Diego, CA, USA
Period	10/09/73 → 12/09/73

Cite this

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title = "MODELING OF SIGNALS IN DISCONTINUOUS OBSERVATIONS.",

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.",

author = "Adrian Segall and Thomas Kailath",

year = "1974",

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pages = "262--266",

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AU - Kailath, Thomas

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AB - 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.

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AN - SCOPUS:0016353324

SP - 262

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T2 - Symp on Nonlinear Estim Theory and Its Appl, 4th, Proc, Pap

Y2 - 10 September 1973 through 12 September 1973

ER -

MODELING OF SIGNALS IN DISCONTINUOUS OBSERVATIONS.

Abstract

Conference

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