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Introduction to Statistical Signal Processing with Applications by R. Viswanathan, Mandyam D. Srinath, P.K. Rajasekaran (Paperback, 1995)

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In An Introduction to Statistical Signal Processing with Applications, these three experienced author/educators cover basic techniques in the processing of stochastic signals and illustrate their use in a variety of specific applications. The text presents both detection and estimation in a clear, concise fashion and reflects recent developments and shifting emphases in the field. *draws from a variety of specific applications, including...- communications - radar - pattern recognition - system identification *provides thorough coverage of parameter and waveform estimation-including Wiener, Kalman filters-with a balance of theory and application. *contains separate sections on Gauss-Markov model and likelihood and sufficiency, providing a necessary foundation for understanding detection/estimation theory. *includes UMP tests and continuous waveform detection in coverage of detection theory, offering both theoretical background and specific applications. *provides introductory material on nonparametric and robust detection to help illuminate theoretical concepts. *offers a wealth of worked examples and problems to reinforce readers understanding of concepts and to present results or applications that reach beyond those mentioned in the text.