Probability Random Signals And Statistics

Author : X. Rong Li
Publisher : CRC Press
Page : 472 pages
File Size : 55,5 Mb
Release : 2017-12-14
Category : Technology & Engineering
ISBN : 9781351421522

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Probability, Random Signals, and Statistics by X. Rong Li Pdf

With this innovative text, the study-and teaching- of probability and random signals becomes simpler, more streamlined, and more effective. Its unique "textgraph" format makes it both student-friendly and instructor-friendly. Pages with a larger typeface form a concise text for basic topics and make ideal transparencies; pages with smaller type provide more detailed explanations and more advanced material.

Author : X. Rong Li
Publisher : CRC Press
Page : 343 pages
File Size : 43,6 Mb
Release : 2017-12-14
Category : Technology & Engineering
ISBN : 9781351421515

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Probability, Random Signals, and Statistics by X. Rong Li Pdf

With this innovative text, the study-and teaching- of probability and random signals becomes simpler, more streamlined, and more effective. Its unique "textgraph" format makes it both student-friendly and instructor-friendly. Pages with a larger typeface form a concise text for basic topics and make ideal transparencies; pages with smaller type provide more detailed explanations and more advanced material.

Author : Charles G. Boncelet
Publisher : Unknown
Page : 418 pages
File Size : 42,8 Mb
Release : 2016
Category : Electrical engineering
ISBN : 0190200529

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Probability, Statistics, and Random Signals by Charles G. Boncelet Pdf

Author : Peyton Z. Peebles
Publisher : McGraw-Hill Companies
Page : 296 pages
File Size : 54,6 Mb
Release : 1980
Category : Mathematics
ISBN : UOM:39015004513365

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Probability, Random Variables, and Random Signal Principles by Peyton Z. Peebles Pdf

Today, any well-designed electrical engineering curriculum must train engineers to account for noise and random signals in systems. The best approach is to emphasize fundamental principles since systems can vary greatly. Professor Peebles's book specifically has this emphasis, offering clear and concise coverage of the theories of probability, random variables, and random signals, including the response of linear networks to random waveforms. By careful organization, the book allows learning to flow naturally from the most elementary to the most advanced subjects. Time domain descriptions of the concepts are first introduced, followed by a thorough description of random signals using frequency domain. Practical applications are not forgotten, and the book includes discussions of practical noises (noise figures and noise temperatures) and an entire special chapter on applications of the theory. Another chapter is devoted to optimum networks when noise is present (matched filters and Wiener filters). This third edition differs from earlier editions mainly in making the book more useful for classroom use. Beside the addition of new topics (Poisson random processes, measurement of power spectra, and computer generation of random variables), the main change involves adding many new end-of-chapter exercises (180 were added for a total of over 800 exercises). The new exercises are all clearly identified for instructors who have used the previous edition.

Author : John J. Shynk
Publisher : John Wiley & Sons
Page : 850 pages
File Size : 44,7 Mb
Release : 2012-10-15
Category : Computers
ISBN : 9781118393956

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Probability, Random Variables, and Random Processes by John J. Shynk Pdf

Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some familiarity with probability and random variables, though not necessarily of random processes and systems that operate on random signals. It is also appropriate for advanced undergraduate students who have a strong mathematical background. The book has the following features: Several appendices include related material on integration, important inequalities and identities, frequency-domain transforms, and linear algebra. These topics have been included so that the book is relatively self-contained. One appendix contains an extensive summary of 33 random variables and their properties such as moments, characteristic functions, and entropy. Unlike most books on probability, numerous figures have been included to clarify and expand upon important points. Over 600 illustrations and MATLAB plots have been designed to reinforce the material and illustrate the various characterizations and properties of random quantities. Sufficient statistics are covered in detail, as is their connection to parameter estimation techniques. These include classical Bayesian estimation and several optimality criteria: mean-square error, mean-absolute error, maximum likelihood, method of moments, and least squares. The last four chapters provide an introduction to several topics usually studied in subsequent engineering courses: communication systems and information theory; optimal filtering (Wiener and Kalman); adaptive filtering (FIR and IIR); and antenna beamforming, channel equalization, and direction finding. This material is available electronically at the companion website. Probability, Random Variables, and Random Processes is the only textbook on probability for engineers that includes relevant background material, provides extensive summaries of key results, and extends various statistical techniques to a range of applications in signal processing.

Author : Hisashi Kobayashi,Brian L. Mark,William Turin
Publisher : Cambridge University Press
Page : 813 pages
File Size : 53,6 Mb
Release : 2011-12-15
Category : Technology & Engineering
ISBN : 9781139502610

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Probability, Random Processes, and Statistical Analysis by Hisashi Kobayashi,Brian L. Mark,William Turin Pdf

Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.

Author : Peyton Peebles
Publisher : McGraw-Hill Science/Engineering/Math
Page : 488 pages
File Size : 44,7 Mb
Release : 2001
Category : Mathematics
ISBN : STANFORD:36105028511272

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Probability, Random Variables, and Random Signal Principles by Peyton Peebles Pdf

Probability - The Random Variable - Operations on one Random Variable--Expectation - Multiple Random Variables - Operations of Multiple Random Variables - Random Processes-Temporal Characteristics - Random Processes-Spectral Characteristics - Linear Systems with Random Inputs - Optimum Linear Systems - Some Practical Applications of the Theory.

Author : Hossein Pishro-Nik
Publisher : Unknown
Page : 746 pages
File Size : 44,9 Mb
Release : 2014-08-15
Category : Probabilities
ISBN : 0990637204

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Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik Pdf

The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.

Author : Peyton Z. Peebles
Publisher : Unknown
Page : 334 pages
File Size : 43,8 Mb
Release : 1993
Category : Probabilities
ISBN : 0070492743

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Probability, Random Variables and Random Signal Principles by Peyton Z. Peebles Pdf

Author : X. Rong Li,J. Deutinger
Publisher : CRC Press
Page : 128 pages
File Size : 50,9 Mb
Release : 2001-08
Category : Electronic
ISBN : 0849300924

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Probability, Random Signals and Statistics by X. Rong Li,J. Deutinger Pdf

Author : Wim C. Van Etten
Publisher : John Wiley & Sons
Page : 270 pages
File Size : 52,5 Mb
Release : 2006-02-03
Category : Science
ISBN : 9780470024126

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Introduction to Random Signals and Noise by Wim C. Van Etten Pdf

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.

Author : Peyton Z. Peebles,Bertram Emil Shi
Publisher : Unknown
Page : 536 pages
File Size : 50,5 Mb
Release : 2015-02-01
Category : Electronic
ISBN : 1259007642

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Probability, Random Variables, and Random Signal Principles by Peyton Z. Peebles,Bertram Emil Shi Pdf

Author : Scott Miller,Donald Childers
Publisher : Academic Press
Page : 625 pages
File Size : 47,9 Mb
Release : 2012-01-11
Category : Mathematics
ISBN : 9780123869814

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Probability and Random Processes by Scott Miller,Donald Childers Pdf

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.

Author : Robert M. Gray,Lee D. Davisson
Publisher : Cambridge University Press
Page : 479 pages
File Size : 53,8 Mb
Release : 2004-12-02
Category : Technology & Engineering
ISBN : 9781139456289

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An Introduction to Statistical Signal Processing by Robert M. Gray,Lee D. Davisson Pdf

This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.

Author : Abraham H. Haddad
Publisher : Prentice Hall
Page : 454 pages
File Size : 48,9 Mb
Release : 2006
Category : Probabilities
ISBN : UCSC:32106018339967

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Probabilistic Systems and Random Signals by Abraham H. Haddad Pdf

In-depth mathematical treatment, including examples of real systems to explain many of the probabilistic models and the use of Matlab both in examples and problem assignments, ensures students can relate to the mathematical material in practical terms Unique applications--covering issues such as reliability, measurement errors, and arrival and departure of events in networks--provide students with a broader range of topical coverage.