Titlebook: Importance Sampling; Applications in Comm Rajan Srinivasan Book 2002 Springer-Verlag Berlin Heidelberg 2002 Detection Theory.Importance Sam

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https://doi.org/10.1007/978-3-662-05052-1Detection Theory; Importance Sampling; Random variable; Signal Processing; algorithm; communication; optim

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CFAR detection,ome examples of detectors operating in clutter that result in analytically difficult problems are described and solved by simulation. As an alternative to using IS, the approximate density expressions derived earlier are used to obtain easily computable solutions to certain CFAR detection problems.

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hinweg synchrone, transnationale Kommunikationsr?ume schufen. Solche Medienereignisse verdichteten den Systemwettbewerb und machten ihn so für die Menschen auf beiden Seiten des Eisernen Vorhangs wahrnehmbar und interpretierbar. Die Mondlandung l?sst sich in einer mediengeschichtlichen Perspektive

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Rajan Srinivasanmperature effects are unimportant. It places roughly equal emphasis on the radio and the . hydromagnetic parts of the electromagnetic spectrum. The dispersion properties of a magnetoplasma are treated as a function both of wave frequency (assumed real) and of ionization density. However, there is li

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Rajan Srinivasan in the Mackenzie River Basin (MRB) during the winter period. A sophisticated tracking algorithm is applied to the analysis of the ERA-40 dataset that spans the 1957–2002 period. The MRB anticyclones are monitored at consecutive times to obtain statistical estimates of their characteristics and dens