Download or read book Signal Detection in Non Gaussian Noise written by Saleem A. Kassam and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 have Gaussian probability den sity functions in its statistical description. For the most part the material developed here can be classified as belonging to the gen eral body of results of parametric theory. Thus the probability density functions of the observations are assumed to be known, at least to within a finite number of unknown parameters in a known functional form. Of course the focus is on noise which is not Gaussian; results for Gaussian noise in the problems treated here become special cases. The contents also form a bridge between the classical results of signal detection in Gaussian noise and those of nonparametric and robust signal detection, which are not con sidered in this book. Three canonical problems of signal detection in additive noise are covered here. These allow between them formulation of a range of specific detection problems arising in applications such as radar and sonar, binary signaling, and pattern recognition and classification. The simplest to state and perhaps the most widely studied of all is the problem of detecting a completely known deterministic signal in noise. Also considered here is the detection random non-deterministic signal in noise. Both of these situa of a tions may arise for observation processes of the low-pass type and also for processes of the band-pass type.

Download or read book Advanced Theory of Signal Detection written by Iickho Song and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph contains a number of problems with signal detection theory, presenting a generalized observation model for signal detection problems. The model includes several interesting and common special cases, such as those describing additive noise, multiplicative noise and signal-dependent noise.

Download or read book Signal Detection in Non Gaussian Noise written by Saleem A. Kassam and published by . This book was released on 1988-01-01 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book SINULAR PROBLEMS IN THE DETECTION OF SIGNALS IN GAUSSIAN NOISE written by William L. Root and published by . This book was released on 1962 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Detection of Signals in Noise written by Robert N. McDonough and published by . This book was released on 1995 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: The updated revision to the authors' successful and widely used introduction to the principles and applciation of the statistical theory of signal detection. The book emphasizes those theories that have been found to be particularly useful in practice, including principles applied to detection problems encountered in digital communications, radar, and sonar.

Download or read book Detection of Signals in Noise written by Anthony D. Whalen and published by Academic Press. This book was released on 2013-09-11 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book On the Problem of Optimal Signal Detection in Discrete Time Correlated Non Gaussian Noise written by K. J. Sangston and published by . This book was released on 1989 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent results of the detection of signals in discrete-time correlated, non-Gaussian noise in which the univariate statistics and a general covariance structure of the noise are known have been obtained. the results are predicted on the assumption that a solution to the signal detection problem based on knowledge of univariate statistics and a convariance structure is 'reasonable, ' even though it is known that in general a non-Gaussian noise process is not completely specified by such information. to examine this issue of 'reasonableness, ' we present two general non-Gaussian noise models that are equivalent in these assumed attributes and yet lead to fundamentally different detection structures. This difference in the detection structures indicate the signal detection problem is not adequately formulated without additional knowledge of the structure of the non-Gaussian noise process. We further present a specific radar example to quantify the difference in the detection structures. (rh).

Download or read book Signal Detection Theory written by Vyacheslav P. Tuzlukov and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasing the noise immunity of complex signal processing systems is the main problem in various areas of signal processing. At the present time there are many books and periodical articles devoted to signal detection, but many important problems remain to be solved. New approaches to complex problems allow us not only to summarize investigations, but also to improve the quality of signal detection in noise. 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 in order to improve the qualitative performance of complex signal processing systems. Theoretical and experimental studies carried out by the author lead to the conclusion that the proposed generalized approach to signal processing in noise allows us to formulate a decision-making rule based on the determi nation of the jointly sufficient statistics of the mean and variance of the likelihood function (or functional). Classical and modern signal detection theories allow us to define only the sufficient statistic of the mean of the likelihood function (or functional). The presence of additional information about the statistical characteristics of the like lihood function (or functional) leads to better-quality signal detection in comparison with the optimal signal detection algorithms of classical and modern theories.

Download or read book Detection of Random Signals in Dependent Gaussian Noise written by Antonio F. Gualtierotti and published by Springer. This book was released on 2015-12-15 with total page 1198 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the necessary mathematical basis to obtain and rigorously use likelihoods for detection problems with Gaussian noise. To facilitate comprehension the text is divided into three broad areas – reproducing kernel Hilbert spaces, Cramér-Hida representations and stochastic calculus – for which a somewhat different approach was used than in their usual stand-alone context. One main applicable result of the book involves arriving at a general solution to the canonical detection problem for active sonar in a reverberation-limited environment. Nonetheless, the general problems dealt with in the text also provide a useful framework for discussing other current research areas, such as wavelet decompositions, neural networks, and higher order spectral analysis. The structure of the book, with the exposition presenting as many details as necessary, was chosen to serve both those readers who are chiefly interested in the results and those who want to learn the material from scratch. Hence, the text will be useful for graduate students and researchers alike in the fields of engineering, mathematics and statistics.

Download or read book Detection Estimation and Modulation Theory Part III written by Harry L. Van Trees and published by John Wiley & Sons. This book was released on 2004-04-07 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Paperback reprint of one of the most respected classics in the history of engineering publication * Together with the reprint of Part I and the new Part IV, this will be the most complete treatment of the subject available * Provides a highly-readable discussion of Signal Processing and Noise * Features numerous problems and illustrations to help promote understanding of the topics * Contents are highly applicable to current systems

Download or read book Detection of Known Signals in Colored Gaussian Noise written by Stanford University. Stanford Electronics Laboratories and published by . This book was released on 1965 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most common method of studying the detection of known signals in colored (nonwhite) Gaussian noise is by means of the Karhunen-Loeve (K-L) expansion. The use of the K-L expansion provides some elegant results, but it also introduces certain complications. These arise because the K-L expansion is an infinite series and therefore there are questions of convergence, interchange of the orders of integration, etc. The resolution of these problems is difficult and leads to conditions for the existence of detectors whose physical meaning is unclear. We shall present a method of reducing the detection problems to a finite-dimensional form where no convergence problems arise. The resulting simplicity provides more direct derivations and more physical insights into many earlier results and has also suggested some new ones. (Author).

Download or read book Detection of Signals in Non Gaussian Noise written by James Harold Miller and published by . This book was released on 1972 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Signal Processing Noise written by Vyacheslav Tuzlukov and published by CRC Press. This book was released on 2018-10-08 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing. Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments. Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.

Download or read book The Detection of Signals in Non Gaussian Noise written by Norman Solat and published by . This book was released on 1964 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Detection Estimation and Modulation Theory Part III written by Harry L. Van Trees and published by John Wiley & Sons. This book was released on 2001-10-11 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Band 2 (Nachdruck als Paperback) des vierbändingen Werkes; insgesamt die umfassendste gegenwärtig erhältliche Abhandlung auf diesem Gebiet - sehr gut verständliche Darstellung aller Aspekte der Signalverarbeitung und des Rauschens - mit zahlreichen anschaulichen Abbildungen und Übungsaufgaben - der behandelte Stoff hat seit der Erstausgabe nicht an Aktualität verloren

Download or read book Detection of Signals in Non Gaussian Noise written by D. L. Clark and published by . This book was released on 1959 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Introduction to Signal Detection and Estimation written by H. Vincent Poor and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential background reading for engineers and scientists working in such fields as communications, control, signal, and image processing, radar and sonar, radio astronomy, seismology, remote sensing, and instrumentation. 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.