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Informationen zum Autor HARRY L. VAN TREES, ScD., received his BSc. from the United States Military Academy and his ScD. from Massachusetts Institute of Technology. During his fourteen years as a Professor of Electrical Engineering at MIT, he wrote Parts I, II, and III of the DEMT series. On loan from MIT, he served in four senior DoD positions including Chief Scientist of the U.S. Air Force and Principal Deputy Assistant Secretary of Defense (C3I). Returning to academia as an endowed professor at George Mason University, he founded the C3I Center and published Part IV of the DEMT series, Optimum Array Processing . He is currently a University Professor Emeritus. KRISTINE L. BELL, PhD, is a Senior Scientist at Metron, Inc., and an affiliate faculty member in the Statistics Department at George Mason University. She coedited with Dr. Van Trees the Wiley-IEEE book Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking . ZHI TIAN, PhD, is a Professor of Electrical and Computer Engineering at Michigan Technological University. She is a Fellow of the IEEE. Klappentext Originally published in 1968, Harry Van Trees's Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago. The second edition is a thorough revision and expansion almost doubling the size of the first edition and accounting for the new developments thus making it again the most comprehensive and up-to-date treatment of the subject.With a wide range of applications such as radar, sonar, communications, seismology, biomedical engineering, and radar astronomy, among others, the important field of detection and estimation has rarely been given such expert treatment as it is here. Each chapter includes section summaries, realistic examples, and a large number of challenging problems that provide excellent study material. This volume which is Part I of a set of four volumes is the most important and widely used textbook and professional reference in the field. Zusammenfassung Harry Van Trees s Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested classics in the field of signal processing. This new edition has been thoroughly revised and expanded, making it again the most comprehensive and up-to-date treatment of the subject. Inhaltsverzeichnis Preface xvPreface to the First Edition xix1 Introduction 11.1 Introduction 11.2 Topical Outline 11.3 Possible Approaches 111.4 Organization 142 Classical Detection Theory 172.1 Introduction 172.2 Simple Binary Hypothesis Tests 202.3 M Hypotheses 512.4 Performance Bounds and Approximations 632.5 Monte Carlo Simulation 802.6 Summary 1092.7 Problems 1103 General Gaussian Detection 1253.1 Detection of Gaussian Random Vectors 1263.2 Equal Covariance Matrices 1383.3 Equal Mean Vectors 1743.4 General Gaussian 1973.5 M Hypotheses 2093.6 Summary 2133.7 Problems 2154 Classical Parameter Estimation 2304.1 Introduction 2304.2 Scalar Parameter Estimation 2324.3 Multiple Parameter Estimation 2934.4 Global Bayesian Bounds 3324.5 Composite Hypotheses 3484.6 Summary 3754.7 Problems 3775 General Gaussian Estimation 4005.1 Introduction 4005.2 Nonrandom Parameters 4015.3 Random Parameters 4835.4 Sequential Estimation 4955.5 Summary 5075.6 Problems 5106 Representation of Random Processes 5196.1 Introduction 5196.2 Orthonormal Expansions: Deterministic Signals 5206.3 Random Process Characterization 5286.4 Homogeous Integral Equations and Eigenfunctions 5406.5 Vector Random Processes 5646.6 Summary 5686.7 Problems 5697 Detection of Signals-Estimation of Signal Parameters 5847...
