Introduction to Random Signals and Noise

Introduction to Random Signals and Noise

Author: Wim C. Van Etten

Publisher: John Wiley & Sons

Published: 2006-02-03

Total Pages: 270

ISBN-13: 0470024127

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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

Random Signals and Noise

Author: Shlomo Engelberg

Publisher: CRC Press

Published: 2018-10-03

Total Pages: 216

ISBN-13: 1420007777

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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 MATLABĀ® 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.


Principles of Random Signal Analysis and Low Noise Design

Principles of Random Signal Analysis and Low Noise Design

Author: Roy M. Howard

Publisher: John Wiley & Sons

Published: 2004-08-18

Total Pages: 328

ISBN-13: 0471460834

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Describes the leading techniques for analyzing noise. Discusses methods that are applicable to periodic signals,aperiodic signals, or random processes over finite or infiniteintervals. Provides readers with a useful reference when designing ormodeling communications systems.


Probability and Random Processes

Probability and Random Processes

Author: Scott Miller

Publisher: Academic Press

Published: 2012-01-11

Total Pages: 625

ISBN-13: 0123869811

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Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. * Exceptional exposition and numerous worked out problems make the book extremely readable and accessible * The authors connect the applications discussed in class to the textbook * The new edition contains more real world signal processing and communications applications * Includes an entire chapter devoted to simulation techniques.


Random Signals

Random Signals

Author: K. Sam Shanmugan

Publisher: John Wiley & Sons

Published: 1988-05-20

Total Pages: 686

ISBN-13:

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This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. It covers the fundamentals of random process models, the applications of probabilistic models and statistical estimation.


Digital Processing of Random Signals

Digital Processing of Random Signals

Author: Boaz Porat

Publisher: Courier Dover Publications

Published: 2008-02-29

Total Pages: 468

ISBN-13: 0486462986

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This excellent advanced text rigorously covers several topics. Geared toward students of electrical engineering, its material is sufficiently general to be applicable to other engineering fields. 1994 edition.


Topics In the Theory of Random Noise

Topics In the Theory of Random Noise

Author: R.L. Stratonovich

Publisher: CRC Press

Published: 1967-01-01

Total Pages: 348

ISBN-13: 9780677007908

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In two main sections, this volume covers peaks of random functions and the effects of noise on relays and nonlinear self-excited oscillations in the presence of noise. Includes bibliographic references and index.


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

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

Author: Robert Grover Brown

Publisher: Wiley-Liss

Published: 1997

Total Pages: 504

ISBN-13:

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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.


Noise and Vibration Analysis

Noise and Vibration Analysis

Author: Anders Brandt

Publisher: John Wiley & Sons

Published: 2011-03-29

Total Pages: 481

ISBN-13: 0470978112

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Noise and Vibration Analysis is a complete and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. It provides an invaluable, integrated guide for practicing engineers as well as a suitable introduction for students new to the topic of noise and vibration. Taking a practical learning approach, Brandt includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study. Addresses the theory and application of signal analysis procedures as they are applied in modern instruments and software for noise and vibration analysis Features numerous line diagrams and illustrations Accompanied by a web site at www.wiley.com/go/brandt with numerous MATLAB tools and examples. Noise and Vibration Analysis provides an excellent resource for researchers and engineers from automotive, aerospace, mechanical, or electronics industries who work with experimental or analytical vibration analysis and/or acoustics. It will also appeal to graduate students enrolled in vibration analysis, experimental structural dynamics, or applied signal analysis courses.