Titlebook: Advanced Theory of Signal Detection; Weak Signal Detectio Iickho Song,Jinsoo Bae,Sun Yong Kim Book 2002 Springer-Verlag Berlin Heidelberg 2

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Signal Detection in Weakly-Dependent Noise,t of Gross World Product (GWP) must be invested each year to prevent climate change damage costs equivalent to the annual loss of 5-20 per cent of GWP, now and forever. Because the estimated benefits of mitigation far exceed the costs, Stern has also argued for immediate and decisive action to reduc

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Book 2002ights. In this book, we have tried to completely present in a unified way the theme oflocally optimum detection ofsignals in generalized observations. Among our hope is thus that the readers would be able to understand the concepts and fundamentals of a generalized observation model as applied to si

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1860-4862 etection ofsignals in generalized observations. Among our hope is thus that the readers would be able to understand the concepts and fundamentals of a generalized observation model as applied to si978-3-642-07708-1978-3-662-04859-7Series ISSN 1860-4862 Series E-ISSN 1860-4870

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Struktur und Dynamik von Proteinen,times to a significant performance degradation of the optimum parametric detector. Specifically, the performance of a detector is quite sensitive to the statistics of the noise process, and an optimum detector based on Neyman-Pearson lemma often performs poorly in the case where . knowledge of the n

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https://doi.org/10.1007/b137686tical hypothesis testing to the problem of weak signal detection in a generalized observation model, and the second one deals with an application of rank statistics in detection of desired signals from noisy observations. In the third group are other detection schemes under various observation scena

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Struktur und Dynamik von Proteinen,eneralized noisy signal model proposed in Chapter 1, which accommodates multiplicative and signal-dependent noise as well as purely-additive noise. In particular, we will consider the locally optimum detection of known signals, based on the generalized version of the Neyman-Pearson fundamental lemma

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Struktur und Dynamik von Proteinen,ork has concentrated mainly on detection of known signals with or without a finite number of random parameters. Less attention has been paid to the problem of detecting random (stochastic) signals, although there does exist a reasonable literature on this subject. (Again, we will use the terms ’rand