Topics in Noise Parameter Estimation and Decentralized Signal Detection
Author: Jenn-Sen Leu
Publisher:
Published: 1993
Total Pages: 214
ISBN-13:
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Detection, Estimation, and Modulation Theory, Part III
Author: Harry L. Van Trees
Publisher: John Wiley & Sons
Published: 2001-10-11
Total Pages: 660
ISBN-13: 047110793X
DOWNLOAD EBOOK- 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
Signal Processing Noise
Author: Vyacheslav Tuzlukov
Publisher: CRC Press
Published: 2018-10-08
Total Pages: 688
ISBN-13: 1420041118
DOWNLOAD EBOOKAdditive 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.
On the Design and Optimization of Distributed Signal Detection and Parameter Estimation Systems
Author: Imad Youssef Hoballah
Publisher:
Published: 1987
Total Pages: 213
ISBN-13:
DOWNLOAD EBOOKIn this report, the problems of hypothesis testing and parameter estimation in a distributed framework are considered. First, hypothesis testing in distributed systems with data fusion is treated. The approach can easily be applied to decentralized systems without data fusion. Optimal decision rules at the detectors and optimal fusions rules are derived for the distributed hypothesis testing problems using the Neyman-Pearson criterion, the general Bayesian criterion and the minimum equivocation criterion. Correspondence between information theory and detection theory is established. Decentralized postdetection integration problems are also considered and optimum fusion rules, as well as optimum decision rules at the individual detectors are obtained for two proposed schemes. Next, decentralized Bayesian parameter estimation is considered and optimum estimation rules at the local estimators and optimum combining rules are obtained for the minimum mean square error criterion, the absolute error criterion and the uniform cost function criterion.
Detection of Signals in Noise
Author: Anthony D. Whalen
Publisher: Academic Press
Published: 2013-09-11
Total Pages: 429
ISBN-13: 1483220540
DOWNLOAD EBOOKDetection 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.
MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems
Author: Vincent Savaux
Publisher: John Wiley & Sons
Published: 2014-09-25
Total Pages: 129
ISBN-13: 1119007909
DOWNLOAD EBOOKThis book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique. Based on the minimum mean square criterion, it performs an accurate detection of a user in a frequency band, by achieving a quasi-optimal channel and noise variance estimation if the signal is present, and by estimating the noise level in the band if the signal is absent. Organized into three chapters, the first chapter provides the background against which the system model is presented, as well as some basics concerning the channel statistics and the transmission of an OFDM signal over a multipath channel. In Chapter 2, the proposed iterative algorithm for the noise variance and the channel estimation is detailed, and in Chapter 3, an application of the algorithm for the free-band detection is proposed. In both Chapters 2 and 3, the principle of the algorithm is presented in a simple way, and more elaborate developments are also provided. The different assumptions and assertions in the developments and the performance of the proposed method are validated through simulations, and compared to methods of the scientific literature.
Parameter Estimation and Signal Detection
Author: Abdelhak M. Zoubir
Publisher:
Published: 1995
Total Pages: 32
ISBN-13: 9781864351477
DOWNLOAD EBOOKPrinciples of Signal Detection and Parameter Estimation
Author: Bernard C. Levy
Publisher: Springer Science & Business Media
Published: 2008-07-07
Total Pages: 647
ISBN-13: 0387765425
DOWNLOAD EBOOKThis textbook provides a comprehensive and current understanding of signal detection and estimation, including problems and solutions for each chapter. Signal detection plays an important role in fields such as radar, sonar, digital communications, image processing, and failure detection. The book explores both Gaussian detection and detection of Markov chains, presenting a unified treatment of coding and modulation topics. 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.
Parameter Estimation and Signal Detection Over Wireless Channels
Author: Ping Gao
Publisher:
Published: 2006
Total Pages: 386
ISBN-13:
DOWNLOAD EBOOKParameter Estimation and Optimal Detection in Generalized Gaussian Noise
Author: Qintian Guo
Publisher:
Published: 2014
Total Pages: 54
ISBN-13:
DOWNLOAD EBOOKModern signal processing algorithms need to work in complicated and variable noise environments. The generalized Gaussian distribution (GGD) can be used to accurately model noise in signal processing for telecommunication and other fields because the GGD covers a wide range of distributions. Three distributions widely used for the modeling of noise including the Laplace, Gaussian and uniform distributions are special cases of the GGD with the shape parameter p having values of 1, 2 and infinity respectively. In this thesis, estimation of the location parameter of the GGD is investigated. When the shape parameter p takes different values, three estimators are derived based on the maximum likelihood estimation theory. An optimal detector in the presence of generalized Gaussian distributed noise is proposed. The asymptotic performance of the optimal detector is analyzed by using the Gaussian approximation method.
