| 书目名称 | Principles of Signal Detection and Parameter Estimation | | 编辑 | Bernard C. Levy | | 视频video | | | 概述 | For graduate EE courses on Detection and Estimation Theory.Modern classical communications theory approach.Includes both analog and digital communication.New developments such as detection of Markov C | | 图书封面 |  | | 描述 | 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 i | | 出版日期 | Textbook 2008 | | 关键词 | Modulation; communication; hidden markov models; hypothesis testing; markov; models; radar signal processi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-76544-0 | | isbn_softcover | 978-1-4419-4565-5 | | isbn_ebook | 978-0-387-76544-0 | | copyright | Springer-Verlag US 2008 |
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发表于 2025-3-21 17:03:44
