Introduction to Random Signals and Noise

With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise.

Author: Wim C. Van Etten

Publisher: John Wiley & Sons

ISBN: 0470024127

Category: Science

Page: 270

View: 578

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to design optimum systems for effectively coping with unwanted signals. Key features: Considers a wide range of signals and noise, including analogue, discrete-time and bandpass signals in both time and frequency domains. Analyses the basics of digital signal detection using matched filtering, signal space representation and correlation receiver. Examines optimal filtering methods and their consequences. Presents a detailed discussion of the topic of Poisson processes and shot noise. An excellent resource for professional engineers developing communication systems, semiconductor devices, and audio and video equipment, this book is also ideal for senior undergraduate and graduate students in Electronic and Electrical Engineering.

Random Signals and Noise

A Firm Foundation Before launching into the particulars of random signals and noise, the author outlines the elements of probability that are used throughout the book and includes an appendix on the relevant aspects of linear algebra.

Author: Shlomo Engelberg

Publisher: CRC Press

ISBN: 1420007777

Category: Technology & Engineering

Page: 216

View: 533

Understanding the nature of random signals and noise is critically important for detecting signals and for reducing and minimizing the effects of noise in applications such as communications and control systems. Outlining a variety of techniques and explaining when and how to use them, Random Signals and Noise: A Mathematical Introduction focuses on applications and practical problem solving rather than probability theory. A Firm Foundation Before launching into the particulars of random signals and noise, the author outlines the elements of probability that are used throughout the book and includes an appendix on the relevant aspects of linear algebra. He offers a careful treatment of Lagrange multipliers and the Fourier transform, as well as the basics of stochastic processes, estimation, matched filtering, the Wiener-Khinchin theorem and its applications, the Schottky and Nyquist formulas, and physical sources of noise. Practical Tools for Modern Problems Along with these traditional topics, the book includes a chapter devoted to spread spectrum techniques. It also demonstrates the use of MATLAB® for solving complicated problems in a short amount of time while still building a sound knowledge of the underlying principles. A self-contained primer for solving real problems, Random Signals and Noise presents a complete set of tools and offers guidance on their effective application.

An Introduction to the Theory of Random Signals and Noise

This "bible" of a whole generation of communications engineers was originally published in 1958.

Author: Wilbur B. Davenport, Jr.

Publisher: Wiley-IEEE Press

ISBN:

Category: Technology & Engineering

Page: 393

View: 832

This "bible" of a whole generation of communications engineers was originally published in 1958. The focus is on the statistical theory underlying the study of signals and noises in communications systems, emphasizing techniques as well s results. End of chapter problems are provided. Sponsored by: IEEE Communications Society

An Introduction to the Theory of Random Signals and Noise

Author: Wilbur B. Davenport

Publisher:

ISBN:

Category:

Page: 393

View: 961


An Introduction to the Theory of Random Signals and Noise

Author: Wilbur B. Davenport

Publisher:

ISBN: 9780317282115

Category: Signal theory (Telecommunication)

Page: 393

View: 215


An Introduction to the Theory Od Random Signals and Noise

Author: Wilbur B. Davenport

Publisher:

ISBN:

Category:

Page: 393

View: 606


Introduction to Random Signals and Applied Kalman Filtering

Focuses on applied Kalman filtering and its random signal analysis.

Author: Robert Grover Brown

Publisher: John Wiley & Sons Incorporated

ISBN:

Category: Technology & Engineering

Page: 502

View: 320

Focuses on applied Kalman filtering and its random signal analysis. Important to all control system and communication engineers, it emphasizes applications, computer software and associated sets of special computer problems to aid in tying together both theory and practice. Along with actual case studies, a diskette is included to enable readers to actually see how Kalman filtering works.

Random Signal Analysis

With abundant exercises, this book is an essential reference for graduate students, scientists and practitioners in electronical engineering and signal processing.

Author: Jie Yang

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3110593807

Category: Computers

Page: 321

View: 429

A fundamental introduction to the delopment of random signal processing with an emphasis on analysis. Linear transformation, nonlinear transformation, spectral analysis of stationary and narrow band random process are discussed in detail. With abundant exercises, this book is an essential reference for graduate students, scientists and practitioners in electronical engineering and signal processing.

Introduction to Random Processes

Author: William A. Gardner

Publisher:

ISBN:

Category: Signal processing

Page: 434

View: 605


An Introduction to Random Signals and Communication Theory

The reader can easily see that replacing wideband white noise by true white
noise is much the same type of approximation as is made when replacing a
narrow - pulse signal by an idealized impulse in cases where the system time
constant is ...

Author: Bhagwandas Pannalal Lathi

Publisher:

ISBN:

Category: Information theory

Page: 488

View: 102


Introduction to Random Signal Analysis and Kalman Filtering

1 RANDOM SIGNALS Nearly everyone has some notion of random or noiselike
signals . One has only to tune an ordinary AM radio away from a station , turn up
the volume , and the result is static , or noise . If one were to look at a strip - chart
 ...

Author: Robert Grover Brown

Publisher: John Wiley & Sons

ISBN:

Category: Kalman filtering

Page: 347

View: 813

Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.

Pseudo Random Signal Processing

Taking a practical approach to the topic, this text provides a comprehensive and systematic guide to understanding and using pseudo random signals.

Author: Hans-Jurgen Zepernick

Publisher: John Wiley & Sons

ISBN: 1118691210

Category: Technology & Engineering

Page: 436

View: 914

In recent years, pseudo random signal processing has proven to be a critical enabler of modern communication, information, security and measurement systems. The signal’s pseudo random, noise-like properties make it vitally important as a tool for protecting against interference, alleviating multipath propagation and allowing the potential of sharing bandwidth with other users. Taking a practical approach to the topic, this text provides a comprehensive and systematic guide to understanding and using pseudo random signals. Covering theoretical principles, design methodologies and applications, Pseudo Random Signal Processing: Theory and Application: sets out the mathematical foundations needed to implement powerful pseudo random signal processing techniques; presents information about binary and nonbinary pseudo random sequence generation and design objectives; examines the creation of system architectures, including those with microprocessors, digital signal processors, memory circuits and software suits; gives a detailed discussion of sophisticated applications such as spread spectrum communications, ranging and satellite navigation systems, scrambling, system verification, and sensor and optical fibre systems. Pseudo Random Signal Processing: Theory and Applicationis an essential introduction to the subject for practising Electronics Engineers and researchers in the fields of mobile communications, satellite navigation, signal analysis, circuit testing, cryptology, watermarking, and measurement. It is also a useful reference for graduate students taking courses in Electronics, Communications and Computer Engineering.

An Introduction to Information Theory

Covers encoding and binary digits, entropy, language and meaning, efficient encoding and the noisy channel, and explores ways in which information theory relates to physics, cybernetics, psychology, and art. 1980 edition.

Author: John R. Pierce

Publisher: Courier Corporation

ISBN: 0486134970

Category: Computers

Page: 336

View: 239

Covers encoding and binary digits, entropy, language and meaning, efficient encoding and the noisy channel, and explores ways in which information theory relates to physics, cybernetics, psychology, and art. 1980 edition.

Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions

In this updated edition the main thrust is on applied Kalman filtering.

Author: Robert Grover Brown

Publisher: John Wiley & Sons Incorporated

ISBN:

Category: Technology & Engineering

Page: 484

View: 812

In this updated edition the main thrust is on applied Kalman filtering. Chapters 1-3 provide a minimal background in random process theory and the response of linear systems to random inputs. The following chapter is devoted to Wiener filtering and the remainder of the text deals with various facets of Kalman filtering with emphasis on applications. Starred problems at the end of each chapter are computer exercises. The authors believe that programming the equations and analyzing the results of specific examples is the best way to obtain the insight that is essential in engineering work.

Random Signals Estimation and Identification

The book covers random processes, stationary signals, spectral analysis, estimation, optimiz ation, detection, spectrum estimation, prediction, filtering, and identification. The book is addressed to practicing engineers and scientists.

Author: Nirode Mohanty

Publisher: Springer Science & Business Media

ISBN: 940117041X

Category: Juvenile Nonfiction

Page: 626

View: 939

The techniques used for the extraction of information from received or ob served signals are applicable in many diverse areas such as radar, sonar, communications, geophysics, remote sensing, acoustics, meteorology, med ical imaging systems, and electronics warfare. The received signal is usually disturbed by thermal, electrical, atmospheric, channel, or intentional inter ferences. The received signal cannot be predicted deterministically, so that statistical methods are needed to describe the signal. In general, therefore, any received signal is analyzed as a random signal or process. The purpose of this book is to provide an elementary introduction to random signal analysis, estimation, filtering, and identification. The emphasis of the book is on the computational aspects as well as presentation of com mon analytical tools for systems involving random signals. The book covers random processes, stationary signals, spectral analysis, estimation, optimiz ation, detection, spectrum estimation, prediction, filtering, and identification. The book is addressed to practicing engineers and scientists. It can be used as a text for courses in the areas of random processes, estimation theory, and system identification by undergraduates and graduate students in engineer ing and science with some background in probability and linear algebra. Part of the book has been used by the author while teaching at State University of New York at Buffalo and California State University at Long Beach. Some of the algorithms presented in this book have been successfully applied to industrial projects.

Random Signals and Processes Primer with MATLAB

This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics.

Author: Gordana Jovanovic Dolecek

Publisher: Springer Science & Business Media

ISBN: 1461423864

Category: Technology & Engineering

Page: 530

View: 665

This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics. It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields. All of this is motivated by numerous examples implemented with MATLAB, as well as a variety of exercises at the end of each chapter.

Random Signal Analysis in Engineering Systems

Brown , R . G . Introduction to Random Signal Analysis and Kalman Filtering .
New York : Wiley , 1983 . Carlson , A . B . Communication Systems : An
Introduction to Signals and Noise in Electrical Communication , 3d ed . New York
: McGraw ...

Author: John J. Komo

Publisher:

ISBN:

Category: Random variables.

Page: 302

View: 572


A First Course in Statistics for Signal Analysis

Developed by the author over the course of several years of classroom use, this book may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical ...

Author: Wojbor A. Woyczynski

Publisher: Springer Science & Business Media

ISBN: 9780817645168

Category: Mathematics

Page: 208

View: 328

This self-contained, deliberately compact, and user-friendly book is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation. Developed by the author over the course of several years of classroom use, this book may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences.

Basic Automatic Control Theory

Bendat , J . S . , Principles and Applications of Random Noise Theory , John
Wiley and Sons , Inc . , New York , 1958 . 4 . Davenport , W . B . , Jr . , and W . L .
Root , Introduction to Random Signals and Noise , McGraw - Hill Book Company ,
Inc ...

Author: Gordon John Murphy

Publisher:

ISBN:

Category: Automatic control

Page: 832

View: 123


Radio Engineering and Electronic Physics

Note that in the linear mode , amplitude and phase noise equal one another in
intensity and each constitutes half the total noise . ... Davenport , W . B . and W . L
. Root , Introduction to Random Signals and Noise ( Russian transl . ) , p . 468 , IIL
 ...

Author:

Publisher:

ISBN:

Category: Electronics

Page:

View: 268