Titlebook: An Introduction to Signal Detection and Estimation; H. Vincent Poor Textbook 19881st edition Springer Science+Business Media New York 1988

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Elements of Signal Estimation,plications we are interested in the related problem of estimating dynamic or time-varying parameters. In the traditional terminology, a dynamic parameter is usually called a ., so the latter problem is known as . or ..

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Signal Detection in Continuous Time,ither a set of vectors or is a discrete set. Throughout this analysis a key role was played by a family of densities {p.; θ ∞ Λ} on the observation space, either through the likelihood ratio in hypothesis testing, through the computation of an . parameter distribution in Bayesian estimation, or thro

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Signal Estimation in Continuous Time,on in continuous time. We treat three basic problems: . for signals of known form (up to a set of unknown parameters) observed in additive Gaussian noise; . in which either we assume that the signals and noise of interest are Gaussian processes or we restrict attention to linear estimators; and ., i

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An Introduction to Signal Detection and Estimation

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1431-8482 Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.978-1-4757-3863-6Series ISSN 1431-8482

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