Sprache: Englisch
Verlag: Wiley-IEEE Press (edition 1), 2003
ISBN 10: 0471259756 ISBN 13: 9780471259756
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Sprache: Englisch
Verlag: Wiley-IEEE Press 01.2003., 2003
ISBN 10: 0471259756 ISBN 13: 9780471259756
Anbieter: Vulkaneifel Bücher, Birgel, Deutschland
Gebundene Ausgabe. Zustand: Wie neu. Auflage: 1. minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen 223836 Sprache: Englisch Gewicht in Gramm: 1030.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 286,48
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 632 pages. 9.25x6.25x1.25 inches. In Stock.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - An understanding of random processes is crucial to many engineering fields-including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering. The filtering, estimation, and detection of random processes in noisy environments are critical tasks necessary in the analysis and design of new communications systems and useful signal processing algorithms. Random Processes: Filtering, Estimation, and Detection clearly explains the basics of probability and random processes and details modern detection and estimation theory to accomplish these tasks.In this book, Lonnie Ludeman, an award-winning authority in digital signal processing, joins the fundamentals of random processes with the standard techniques of linear and nonlinear systems analysis and hypothesis testing to give signal estimation techniques, specify optimum estimation procedures, provide optimum decision rules for classification purposes, and describe performance evaluation definitions and procedures for the resulting methods. The text covers four main, interrelated topics:\* Probability and characterizations of random variables and random processes\* Linear and nonlinear systems with random excitations\* Optimum estimation theory including both the Wiener and Kalman Filters\* Detection theory for both discrete and continuous time measurementsLucid, thorough, and well-stocked with numerous examples and practice problems that emphasize the concepts discussed, Random Processes: Filtering, Estimation, and Detection is an understandable and useful text ideal as both a self-study guide for professionals in the field and as a core text for graduate students.