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Introduction to applied statistical ...

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Introduction to applied statistical signal analysis = guide to biomedical and electrical engineering applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Introduction to applied statistical signal analysis/ Richard Shiavi.
其他題名:	guide to biomedical and electrical engineering applications /
作者:	Shiavi, Richard.
出版者:	Amsterdam ;Academic, : c2007.,
面頁冊數:	xxii, 402 p. :ill. ;24 cm.
附註:	Previous ed.: 1999.
內容註:	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.
標題:	Signal processing - Statistical methods. -
電子資源:	http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780120885817An electronic book accessible through the World Wide Web; click for information
電子資源:	http://www.sciencedirect.com/science/book/9780120885817An electronic book accessible through the World Wide Web; click for information
ISBN:	0120885816

Introduction to applied statistical signal analysis = guide 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: 0120885816

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

649787
Signal processing
--Statistical methods.Index Terms--Genre/Form:

542853
Electronic books.

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

Dewey Class. No.: 621.3822

Introduction to applied statistical signal analysis = guide 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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994 $a C0 $b TEF