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Topics covered include nonparametric detection, wiener filters, and spectrum estimations. Robert schober department of electrical and computer engineering university of british columbia vancouver, august 24, 2010. Detection theory or signal detection theory is a means to measure the ability to differentiate between informationbearing patterns called stimulus in living organisms, signal in machines and random patterns that distract from the information called noise, consisting of background stimuli and random activity of the detection machine and of the nervous system of the operator. Detection and estimation theory 1st edition by schonhoff, thomas, giordano, arthur 2006 paperback paperback january 1, 1709 3. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. This is the first studentfriendly textbook to comprehensively address the topics of both detection and estimation with a thorough discussion of the underlying theory as well as the practical applications. Download solution manual signals and systems using matlab 2nd ed. Detection and estimation theory, prentice hall, 2007. Pdf contains reports on theses completed and four research projects.
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