Digital Simulation of a Gaussian Random Process Having an Exponential Autocorrelation Function

Digital Simulation of a Gaussian Random Process Having an Exponential Autocorrelation Function PDF Author: D. K. Bowser
Publisher:
ISBN:
Category : Airplanes
Languages : en
Pages : 56

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Book Description
The digital simulation of terrain or longitudinal gust profiles is shown to be practical. Its use as input to an overall system simulation has reasonable promise of success. With the tools developed in this report, the user has at his disposal a means of determining what is a reasonable choice for the numerical integration increment and what is a sufficient sample length in a statistical sense.

Digital Simulation of a Gaussian Random Process Having an Exponential Autocorrelation Function

Digital Simulation of a Gaussian Random Process Having an Exponential Autocorrelation Function PDF Author: D. K. Bowser
Publisher:
ISBN:
Category : Airplanes
Languages : en
Pages : 56

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Book Description
The digital simulation of terrain or longitudinal gust profiles is shown to be practical. Its use as input to an overall system simulation has reasonable promise of success. With the tools developed in this report, the user has at his disposal a means of determining what is a reasonable choice for the numerical integration increment and what is a sufficient sample length in a statistical sense.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 892

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Book Description


Technical Abstract Bulletin

Technical Abstract Bulletin PDF Author: Defense Documentation Center (U.S.)
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 784

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Book Description


Government-wide Index to Federal Research & Development Reports

Government-wide Index to Federal Research & Development Reports PDF Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 690

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Book Description


Probability and Random Processes

Probability and Random Processes PDF Author: Scott Miller
Publisher: Elsevier
ISBN: 0080470424
Category : Technology & Engineering
Languages : en
Pages : 551

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Book Description
Probability and Random Processes provides 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 includes unique chapters on narrowband random processes and simulation techniques. It also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Exceptional exposition and numerous worked out problems make the book extremely readable and accessible. It is meant for practicing engineers as well as graduate students. 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

U.S. Government Research & Development Reports

U.S. Government Research & Development Reports PDF Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 224

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Book Description


Applications of Random Process Excursion Analysis

Applications of Random Process Excursion Analysis PDF Author: Irina S. Brainina
Publisher: Newnes
ISBN: 012410469X
Category : Technology & Engineering
Languages : en
Pages : 256

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Book Description
This book addresses one of the key problems in signal processing, the problem of identifying statistical properties of excursions in a random process in order to simplify the theoretical analysis and make it suitable for engineering applications. Precise and approximate formulas are explained, which are relatively simple and can be used for engineering applications such as the design of devices which can overcome the high initial uncertainty of the self-training period. The information presented in the monograph can be used to implement adaptive signal processing devices capable of detecting or recognizing the wanted signals (with a priori unknown statistical properties) against the background noise. The applications presented can be used in a wide range of fields including medicine, radiolocation, telecommunications, surface quality control (flaw detection), image recognition, thermal noise analysis for the design of semiconductors, and calculation of excessive load in mechanics. Introduces English-speaking students and researchers in to the results obtained in the former Soviet/ Russian academic institutions within last few decades. Supplies a range of applications suitable for all levels from undergraduate to professional Contains computer simulations

Random Processes

Random Processes PDF Author: Jozef Čačko
Publisher:
ISBN:
Category : Engineering models
Languages : en
Pages : 256

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Book Description
This book covers the basic topics associated with the measurement, analysis and simulation of random environmental processes which are encountered in practice when dealing with the dynamics, fatigue and reliability of structures in real environmental conditions.

Digital-computer Simulation of a Gaussian Random Process with Given Power Spectral Density

Digital-computer Simulation of a Gaussian Random Process with Given Power Spectral Density PDF Author: Joel N. Franklin
Publisher:
ISBN:
Category : Gaussian processes
Languages : en
Pages : 86

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Book Description


Gaussian Random Processes

Gaussian Random Processes PDF Author: I.A. Ibragimov
Publisher: Springer Science & Business Media
ISBN: 1461262755
Category : Mathematics
Languages : en
Pages : 285

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Book Description
The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions for mutual absolute continuity (equivalence) of probability distributions of a "random process segment" and of finding effective formulas for densities of the equiva lent distributions. Our second problem is to describe the classes of spectral measures corresponding in some sense to regular stationary processes (in par ticular, satisfying the well-known "strong mixing condition") as well as to describe the subclasses associated with "mixing rate". The third problem involves estimation of an unknown mean value of a random process, this random process being stationary except for its mean, i. e. , it is the problem of "distinguishing a signal from stationary noise". Furthermore, we give here auxiliary information (on distributions in Hilbert spaces, properties of sam ple functions, theorems on functions of a complex variable, etc. ). Since 1958 many mathematicians have studied the problem of equivalence of various infinite-dimensional Gaussian distributions (detailed and sys tematic presentation of the basic results can be found, for instance, in [23]). In this book we have considered Gaussian stationary processes and arrived, we believe, at rather definite solutions. The second problem mentioned above is closely related with problems involving ergodic theory of Gaussian dynamic systems as well as prediction theory of stationary processes.