Detection Estimation and Modulation Theory Optimum Array Processing

Author: Harry L. Van Trees
Publisher: John Wiley & Sons
ISBN: 0471463833
Format: PDF, Kindle
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Well-known authority, Dr. Van Trees updates array signal processing for today's technology This is the most up-to-date and thorough treatment of the subject available Written in the same accessible style as Van Tree's earlier classics, this completely new work covers all modern applications of array signal processing, from biomedicine to wireless communications

Detection Estimation and Modulation Theory Optimum Array Processing

Author: Harry L. Van Trees
Publisher: Wiley-Interscience
ISBN: 9780471093909
Format: PDF, Docs
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Well-known authority, Dr. Van Trees updates array signal processing for today's technology This is the most up-to-date and thorough treatment of the subject available Written in the same accessible style as Van Tree's earlier classics, this completely new work covers all modern applications of array signal processing, from biomedicine to wireless communications

Detection Estimation and Modulation Theory Part III

Author: Harry L. Van Trees
Publisher: John Wiley & Sons
ISBN: 0471463817
Format: PDF
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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

Detection Estimation and Modulation Theory Radar Sonar Signal Processing and Gaussian Signals in Noise

Author: Harry L. Van Trees
Publisher: John Wiley & Sons
ISBN: 047110793X
Format: PDF
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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

Detection Estimation and Modulation Theory

Author: Harry L. Van Trees
Publisher: John Wiley & Sons
ISBN: 9780470542965
Format: PDF, Mobi
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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.

Bayesian Bounds for Parameter Estimation and Nonlinear Filtering Tracking

Author: Harry L. Van Trees
Publisher: Wiley-IEEE Press
ISBN: 9780470120958
Format: PDF, ePub, Mobi
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The first comprehensive development of Bayesian Bounds for parameter estimation and nonlinear filtering/tracking Bayesian estimation plays a central role in many signal processing problems encountered in radar, sonar, communications, seismology, and medical diagnosis. There are often highly nonlinear problems for which analytic evaluation of the exact performance is intractable. A widely used technique is to find bounds on the performance of any estimator and compare the performance of various estimators to these bounds. This book provides a comprehensive overview of the state of the art in Bayesian Bounds. It addresses two related problems: the estimation of multiple parameters based on noisy measurements and the estimation of random processes, either continuous or discrete, based on noisy measurements. An extensive introductory chapter provides an overview of Bayesian estimation and the interrelationship and applicability of the various Bayesian Bounds for both static parameters and random processes. It provides the context for the collection of papers that are included. This book will serve as a comprehensive reference for engineers and statisticians interested in both theory and application. It is also suitable as a text for a graduate seminar or as a supplementary reference for an estimation theory course.

Classical and Modern Direction of Arrival Estimation

Author: T. Engin Tuncer
Publisher: Academic Press
ISBN: 0080923070
Format: PDF, ePub, Docs
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Classical and Modern Direction of Arrival Estimation contains both theory and practice of direction finding by the leading researchers in the field. This unique blend of techniques used in commercial DF systems and state-of-the art super-resolution methods is a valuable source of information for both practicing engineers and researchers. Key topics covered are: Classical methods of direction finding Practical DF methods used in commercial systems Calibration in antenna arrays Array mapping, fast algorithms and wideband processing Spatial time-frequency distributions for DOA estimation DOA estimation in threshold region Higher order statistics for DOA estimation Localization in sensor networks and direct position estimation Brings together in one book classical and modern DOA techniques, showing the connections between them Contains contributions from the leading people in the field Gives a concise and easy- to- read introduction to the classical techniques Evaluates the strengths and weaknesses of key super-resolution techniques Includes applications to sensor networks