Detection Estimation and Modulation Theory, Part I

Detection, Estimation, and Filtering Theory

Author: Harry L. Van Trees

Publisher: John Wiley & Sons

ISBN:

Category: Technology & Engineering

Page: 1176

View: 865

Originally published in 1968, Harry Van Trees’s Detection,Estimation, and Modulation Theory, Part I is one of the greattime-tested classics in the field of signal processing. Highlyreadable and practically organized, it is as imperative today forprofessionals, researchers, and students in optimum signalprocessing as it was over thirty years ago. The second edition is athorough revision and expansion almost doubling the size of thefirst edition and accounting for the new developments thus makingit again the most comprehensive and up-to-date treatment of thesubject. With a wide range of applications such as radar, sonar,communications, seismology, biomedical engineering, and radarastronomy, among others, the important field of detection andestimation has rarely been given such expert treatment as it ishere. Each chapter includes section summaries, realistic examples,and a large number of challenging problems that provide excellentstudy material. This volume which is Part I of a set of fourvolumes is the most important and widely used textbook andprofessional reference in the field.

Detection, Estimation, and Modulation Theory, Part III

Radar-Sonar Signal Processing and Gaussian Signals in Noise

Author: Harry L. Van Trees

Publisher: John Wiley & Sons

ISBN:

Category: Technology & Engineering

Page: 648

View: 246

Paperback reprint of one of the most respected classics in thehistory of engineering publication Together with the reprint of Part I and the new Part IV, thiswill be the most complete treatment of the subject available Provides a highly-readable discussion of Signal Processing andNoise Features numerous problems and illustrations to help promoteunderstanding of the topics Contents are highly applicable to current systems

Detection, estimation, and modulation theory

Nonlinear modulation theory

Author: Harry L. Van Trees

Publisher: Wiley-Interscience

ISBN:

Category: Fiction

Page: 368

View: 240

The respected classic, now in a handy paperback edition Originally published in 1971, Harry Van Trees' Detection, Estimation, and Modulation Theory, Part II is one of the classic references in the area of nonlinear modulation theory and analog communication. Highly readable and well organized, it is as valuable today for professionals, researchers, and students interested in the estimation of continuous waveforms as it was over thirty years ago. Part II focuses on the problem of finding the optimum estimate of a waveform which is embedded in a signal in a nonlinear manner. The following topics are covered in detail: * Bayesian Cramér-Rao bound on the mean-square estimation error * Optimum demodulators for frequency-modulation systems * Phase estimation: the synchronization problem * Fokker-Planck techniques for nonlinear analysis in the presence of noise * Optimum angle-modulation systems * Rate distortion bounds for analog message transmission * Analog communication over randomly time-varying channels * State variable analysis procedures For students in signal processing or professionals looking for a reliable refresher on waveform estimation, Detection, Estimation, and Modulation Theory, Part II provides authoritative, practical coverage by one of the most renowned figures in the field. Although most current systems are implemented digitally, the bounds on performance developed in Part II are still applicable.

Optimum Array Processing

Part IV of Detection, Estimation, and Modulation Theory

Author: Harry L. Van Trees

Publisher: John Wiley & Sons

ISBN:

Category: Technology & Engineering

Page: 1472

View: 283

Well-known authority, Dr. Van Trees updates array signalprocessing for today's technology This is the most up-to-date and thorough treatment of thesubject available Written in the same accessible style as Van Tree's earlierclassics, this completely new work covers all modern applicationsof array signal processing, from biomedicine to wirelesscommunications

Detection, Estimation, and Modulation Theory, Optimum Array Processing

Author: Harry L. Van Trees

Publisher: Wiley-Interscience

ISBN:

Category: Technology & Engineering

Page: 1472

View: 841

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

Signal Detection Theory

Author: Vyacheslav P. Tuzlukov

Publisher: Springer Science & Business Media

ISBN:

Category: Technology & Engineering

Page: 727

View: 300

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.

Signal Processing Noise

Author: Vyacheslav Tuzlukov

Publisher: CRC Press

ISBN:

Category: Technology & Engineering

Page: 688

View: 395

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.

Statistical Signal Processing

Detection, Estimation, and Time Series Analysis

Author: Louis L. Scharf

Publisher: Prentice Hall

ISBN:

Category: Technology & Engineering

Page: 524

View: 981

This book embraces the many mathematical procedures that engineers and statisticians use to draw inference from imperfect or incomplete measurements.This book presents the fundamental ideas in statistical signal processing along four distinct lines: mathematical and statistical preliminaries; decision theory; estimation theory; and time series analysis.

Adaptive filter theory

Author: Simon S. Haykin

Publisher:

ISBN:

Category: Technology & Engineering

Page: 854

View: 710

"Adaptive Filter Theory" looks at both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR) and the elements of supervised neural networks. Up-to-date and in-depth treatment of adaptive filters develops concepts in a unified and accessible manner. This highly successful book provides comprehensive coverage of adaptive filters in a highly readable and understandable fashion. Includes an extensive use of illustrative examples; and MATLAB experiments, which illustrate the practical realities and intricacies of adaptive filters, the codes for which can be downloaded from the Web. Covers a wide range of topics including Stochastic Processes, Wiener Filters, and Kalman Filters. For those interested in learning about adaptive filters and the theories behind them.