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.
New approaches and problems of such complexity study allows the development of a better quality of signal detection in noise. This book is devoted to a new generalized approach to signal detection theory.
Signals and filters; Noise; Hypothesis testing; Detection of a known signal; Detection of signals of unknown phase; Digital communications; Detection by multiple observations; The estimation of signal parameters; Detection of...
This book contains a unified treatment of a class of problems of signal detection theory.
This book contains a unified treatment of a class of problems of signal detection theory. This is the detection of signals in addi tive noise which is not required to...
This book is devoted to fundamental problems in the generalized approach to signal processing in noise based on a seemingly abstract idea: the introduction of an additional noise source that does not carry any information about the signal ...
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.
The book can be used as a textbook for a single course, as well as a combination of an introductory and an advanced course, or even for two separate courses, one in signal detection, the other in estimation.
The model includes several interesting and common special cases, such as those describing additive noise, multiplicative noise and signal-dependent noise. This book contains a number of problems of signal detection theory.
Highly readable paperback reprint of one of the great time-tested classics in the field of signal processing Together with the reprint of Part III and the new Part IV, this will be the most complete treatment of the subject available As ...
10.7 THIRD-ORDER PHASELOCK LOOP In this section the third-order PLL is examined using the closed-loop transfer function derived by Jaffe and Rechtin [13]. Their analysis applies the Wiener filter criterion [17] to optimize the ...