We have some time ago noticed that finding a book dealing with topics in the ad vanced theory and applications of signal detection is not quite an easy matter. This is contrasted with that there are numerous books on the more general subject of de tection and estimation.Frankly, ourexperience and expertise is only on some partial portions of the theory and recent topics of signal detection. This book is therefore meant to include not all the advanced and interesting topics in the theory and appli cations ofsignal detection, butjust onlysome subsets of them: some such important and interesting topics and issues as distributed signal detection and sequential de tection are not considered only due to our limited knowledge and capacity. The goal we have in mind for this book is to present several advanced topics in signal detection theory and thereby help readers gain novel ideas and insights. 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 signal detection problems. This book will also allow the readers, whether they are students, academics, practitioners, or researchers, to have an expanded view on signal detection.
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This book contains a number of problems of signal detection theory. A generalized observation model for signal detection problems is included. The model includes several interesting and common special cases such as those describing additive noise, multiplicative noise, and signal-dependent noise. The model can also describe composite signals in addition to the usual known (deterministic) signals and random (stochastic) signals. Locally optimum (LO) and locally optimum rank (LOR) detectors for known and random signals in the model are discussed, and original results are obtained. Other approaches to detection of signals are also discussed.
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Seller: Fox and Tome Booksellers, Frederick, MD, U.S.A.
Hardback. Condition: New. This monograph by Iickho Song, Jinsoo Bae, and Sun Yong Kim addresses topics in signal detection theory through a generalized observation framework that encompasses additive, multiplicative, and signal-dependent noise scenarios, as well as composite, deterministic, and stochastic signal types. The authors examine locally optimum and locally optimum rank detectors for both known and random weak signals, presenting derivations and results within this unified model. Published as part of Springer's Signals and Communication Technology series, the volume is intended for researchers and graduate students seeking material beyond standard introductions to detection and estimation theory. Seller Inventory # OA-251120-shelf-33-012
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Condition: New. Monograph on a specialized but important topic in detection theoryThe Korea Advanced Institute of Science and Technology (KAIST) is one of the most renowned research Institutions in AsiaThis monograph contains a number of problems with signal det. Seller Inventory # 4890221
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