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Random Signal Analysis


Random Signal Analysis
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Random Signal Analysis In Engineering Systems


Random Signal Analysis In Engineering Systems
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Author : John Komo
language : en
Publisher: Elsevier
Release Date : 2012-12-02

Random Signal Analysis In Engineering Systems written by John Komo and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Technology & Engineering categories.


Random Signal Analysis in Engineering Systems covers the concepts of probability, random variables, averages, simulation, and random signals. The book discusses set theory and probability; random variables and vectors; and the functions of random variables. The text also describes the statistical averages; simulation; statistical inference; and random processes. Undergraduate engineering students will find the book useful.



Principles Of Random Signal Analysis And Low Noise Design


Principles Of Random Signal Analysis And Low Noise Design
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Author : Roy M. Howard
language : en
Publisher: John Wiley & Sons
Release Date : 2004-08-18

Principles Of Random Signal Analysis And Low Noise Design written by Roy M. Howard and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-18 with Technology & Engineering categories.


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.



Random Signal Processing


Random Signal Processing
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Author : Shaila Dinkar Apte
language : en
Publisher: CRC Press
Release Date : 2017-08-15

Random Signal Processing written by Shaila Dinkar Apte and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-15 with Mathematics categories.


This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density. The properties of random processes and signal modelling are discussed with basic communication theory estimation and detection. MATLAB simulations are included for each concept with output of the program with case studies and project ideas. The chapters progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing. The book is designed to cater to a wide audience starting from the undergraduates (electronics, electrical, instrumentation, computer, and telecommunication engineering) to the researchers working in the pertinent fields. Key Features: • Aimed at random signal processing with parametric signal processing-using appropriate segment size. • Covers speech, image, medical images, EEG and ECG signal processing. • Reviews optimal detection and estimation. • Discusses parametric modeling and signal processing in transform domain. • Includes MATLAB codes and relevant exercises, case studies and solved examples including multiple choice questions



Introduction To Random Signals And Noise


Introduction To Random Signals And Noise
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Author : Wim C. Van Etten
language : en
Publisher: John Wiley & Sons
Release Date : 2006-02-03

Introduction To Random Signals And Noise written by Wim C. Van Etten and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-03 with Science categories.


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.



Digital Processing Of Random Signals


Digital Processing Of Random Signals
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Author : Boaz Porat
language : en
Publisher: Courier Dover Publications
Release Date : 2008-02-29

Digital Processing Of Random Signals written by Boaz Porat and has been published by Courier Dover Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-29 with Technology & Engineering categories.


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.



Random Signal Processing


Random Signal Processing
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Author : Dwight F. Mix
language : en
Publisher: Macmillan College
Release Date : 1995

Random Signal Processing written by Dwight F. Mix and has been published by Macmillan College this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Mathematics categories.


Providing detailed coverage of Wiener filtering and Kalman filtering, this book presents a coherent treatment of estimation theory and an in-depth look at detection theory for communication and pattern recognition.



Introduction To Random Signal Analysis And Kalman Filtering


Introduction To Random Signal Analysis And Kalman Filtering
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Author : Robert Grover Brown
language : en
Publisher: John Wiley & Sons
Release Date : 1983

Introduction To Random Signal Analysis And Kalman Filtering written by Robert Grover Brown and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Mathematics categories.


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.



Probability And Random Processes


Probability And Random Processes
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Author : Scott Miller
language : en
Publisher: Academic Press
Release Date : 2012-01-11

Probability And Random Processes written by Scott Miller and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-11 with Mathematics categories.


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.



Discrete Random Signal Processing And Filtering Primer With Matlab


Discrete Random Signal Processing And Filtering Primer With Matlab
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Author : Alexander D. Poularikas
language : en
Publisher: CRC Press
Release Date : 2018-10-03

Discrete Random Signal Processing And Filtering Primer With Matlab written by Alexander D. Poularikas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.


Engineers in all fields will appreciate a practical guide that combines several new effective MATLAB® problem-solving approaches and the very latest in discrete random signal processing and filtering. Numerous Useful Examples, Problems, and Solutions – An Extensive and Powerful Review Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to doubly enhance their skills. The author, a leading expert in the field of electrical and computer engineering, offers a solid review of recent developments in discrete signal processing. The book also details the latest progress in the revolutionary MATLAB language. A Practical Self-Tutorial That Transcends TheoryThe author introduces an incremental discussion of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with both linear and non-linear filtering. Ideal as a self-tutorial, this book includes numerous examples and functions, which can be used to select parameters, perform simulations, and analyze results. This concise guide encourages readers to use MATLAB functions – and those new ones introduced as Book MATLAB Functions – to substitute many different combinations of parameters, giving them a firm grasp of how much each parameter affects results. Much more than a simple review of theory, this book emphasizes problem solving and result analysis, enabling readers to take a hands-on approach to advance their own understanding of MATLAB and the way it is used within signal processing and filtering.