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Introduction to applied statistical signal analysisguide to biomedical and electrical engineering applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to applied statistical signal analysisRichard Shiavi.
Reminder of title:	guide to biomedical and electrical engineering applications /
Author:	Shiavi, Richard.
Published:	Amsterdam ;Academic,c2007.
Description:	xxii, 402 p. :ill. ;24 cm.
Notes:	Previous ed.: 1999.
Subject:	Signal processingStatistical methods.
Online resource:	An electronic book accessible through the World Wide Web; click for information
Online resource:	http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780120885817
ISBN:	9780120885817

Introduction to applied statistical signal analysisguide to biomedical and electrical engineering applications /
Shiavi, Richard.

Introduction to applied statistical signal analysisguide to biomedical and electrical engineering applications /[electronic resource] :Richard Shiavi. - 3rd ed. - Amsterdam ;Academic,c2007. - xxii, 402 p. :ill. ;24 cm.

Previous ed.: 1999.

Includes bibliographical references and index.

Introduction to Terminology; Empirical Modeling and Approximation; Fourier Analysis; Probability Concepts and Signal Characteristics; Random Processes and Signal Correlation; Random Signals, Linear Systems, and Power Spectra; Spectral Analysis for Random Signals; Random Signal Modeling and Modern Spectral Estimation; Theory and Application of Cross Correlation and Coherence.

Introduction to Applied Statistical Signal Analysis is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Introduction to Applied Statistical Signal Analysis intertwines theory and implementation with practical examples and exercises. Topics presented in detail include: mathematical bases, requirements for estimation and detailed quantitative examples for implementing techniques for classical signal analysis. This book will help readers understand real-world applications of signal analysis as they relate to biomedical engineering. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. Accompanied by MATLAB notebooks that provide an interactive mode of learning which can be utilized by professors or independent learners, available from the Companion website. Includes over one hundred worked problems and real world applications. Many of the examples and exercises in the book use measured signals, many from the biomedical domain. Copies of these are available for download from the Companion website. Please visit http://books.elsevier.com/companions/9780120885817 to access accompanying material.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 9780120885817

Source: 111399:111483Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

182359
Signal processing
--Statistical methods.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TK5102.5 / .S474 2007eb

Dewey Class. No.: 621.3822

Introduction to applied statistical signal analysisguide to biomedical and electrical engineering applications /
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505 0 $a Introduction to Terminology; Empirical Modeling and Approximation; Fourier Analysis; Probability Concepts and Signal Characteristics; Random Processes and Signal Correlation; Random Signals, Linear Systems, and Power Spectra; Spectral Analysis for Random Signals; Random Signal Modeling and Modern Spectral Estimation; Theory and Application of Cross Correlation and Coherence.
520 $a Introduction to Applied Statistical Signal Analysis is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Introduction to Applied Statistical Signal Analysis intertwines theory and implementation with practical examples and exercises. Topics presented in detail include: mathematical bases, requirements for estimation and detailed quantitative examples for implementing techniques for classical signal analysis. This book will help readers understand real-world applications of signal analysis as they relate to biomedical engineering. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. Accompanied by MATLAB notebooks that provide an interactive mode of learning which can be utilized by professors or independent learners, available from the Companion website. Includes over one hundred worked problems and real world applications. Many of the examples and exercises in the book use measured signals, many from the biomedical domain. Copies of these are available for download from the Companion website. Please visit http://books.elsevier.com/companions/9780120885817 to access accompanying material.
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