Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection. The book discusses probability and random processes; narrowband signals, their complex representation, and their properties described with the aid of the Hilbert transform; and Gaussian-derived processes. The text also describes the application of hypothesis testing for the detection of signals and the fundamentals required for statistical detection of signals in noise. Problem exercises, references, and a supplementary bibliography are included after each chapter. Students taking a graduate course in signal detection theory.
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|Size: ||37.5 MB|
|Publisher: ||Academic Press|
|Date published: || 2013|
|ISBN: ||9781483220543 (DRM-PDF)|
|Read Aloud: ||not allowed|