Forexample,imageproce- ing applications typically combine parameter estimation and detection tasks, so the separation of parameter estimation and detection in distinct operations typical of early communication systems, where parameter estimation was - complished through the use of training signals, needs to be abandoned.
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This new textbook is for contemporary signal detection and parameter estimation courses offered at the advanced undergraduate and graduate levels. It presents a unified treatment of detection problems arising in radar/sonar signal processing and modern digital communication systems. The material is comprehensive in scope and addresses signal processing and communication applications with an emphasis on fundamental principles. In addition to standard topics normally covered in such a course, the author incorporates recent advances, such as the asymptotic performance of detectors, sequential detection, generalized likelihood ratio tests (GLRTs), robust detection, the detection of Gaussian signals in noise, the expectation maximization algorithm, and the detection of Markov chain signals. Numerous examples and detailed derivations along with homework problems following each chapter are included.
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Da: Coffee Cat Books, Chapel Hill, NC, U.S.A.
hardcover. Condizione: Very Good. 2008, Springer. Very good. Name stamp inside endpages. Hardcover binding, solid and square. Interior clean and bright. A couple of dings to the spine with light edge, corner and shelf wear otherwise; used stickers on back cover. Illustrated. An advanced engineering textbook examining statistical signal detection and parameter estimation methods used in modern communication and sensing systems. From the personal collection of professor of Engineering & Computer Science. Photos of book you will receive. Codice articolo 0VGsam012926G12
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