Principles of Signal Detection and Parameter Estimation
Language: English
Published by Springer, 2010
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 106.95
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - Asadiscipline,signaldetectionhasevolvedsigni cantlyoverthelast40years. Some changes have been caused by technical advances, like the development of robust detection methods, or the use of the theory of large deviations to characterize the asymptotic performance of tests, but most changes have been caused by transformations in the engineering systems to which detection te- niques are applied. While early applications of signal detection focused on radar and sonar signal processing or the design of digital communication - ceivers, newer areas of application include image analysis and interpretation, document authenti cation, biometrics, and sensor or actuator failure det- tion. This expanded scope of application has required some adjustment in standardwaysofformulatingdetectionproblems. 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. Other changes have occured in the design of communication systems which make it increasingly di cult to treat the detection of communications signals and of radar/sonar signals in a uni ed manner. This common framework assumes implicitly that intersymbol interference is not present and that channel c- ing and modulation are implemented separately, since in this case modulated signals can be detected one symbol at a time. But modern communication systems are typically designed to operate over bandlimited channels where - tersymbol interference is present, and starting with the introduction of trellis coded modulation, modulation and coding have become intertwined.…
Seller Inventory # 9781441945655
- Title
- Principles of Signal Detection and Parameter Estimation
- Author
- Bernard C. Levy
- Publisher
- Springer
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1441945652
- ISBN 13
- 9781441945655
- Item weight
- 984 grams
- Dimensions
- 235x155x36 mm
This textbook provides a comprehensive and current understanding of signal detection and estimation, including problems and solutions for each chapter. Signal detection plays an important role in fields such as radar, sonar, digital communications, image processing, and failure detection. The book explores both Gaussian detection and detection of Markov chains, presenting a unified treatment of coding and modulation topics. Addresses asymptotic of tests with the theory of large deviations, and robust detection. This text is appropriate for students of Electrical Engineering in graduate courses in Signal Detection and Estimation.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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