Introduction to applied statistical signal analysis: guide to biomedical and electrical engineering applications
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam ; Boston
Elsevier Academic Press
2007
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| Edition: | 3rd ed |
| Subjects: | |
| Item Description: | Print version record |
| Physical Description: | 1 online resource (xxii, 402 pages) illustrations |
| ISBN: | 9780080467689 0080467687 |
Staff View
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| 505 | 8 | |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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| author | Shiavi, Richard |
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| contents | 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 |
| ctrlnum | (ZDB-4-ENC)ocm86082622 (OCoLC)86082622 (DE-599)BVBBV045341506 |
| dewey-full | 621.382/2 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.382/2 |
| dewey-search | 621.382/2 |
| dewey-sort | 3621.382 12 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| edition | 3rd ed |
| format | Electronic eBook |
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| spelling | Shiavi, Richard Verfasser aut Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications Richard Shiavi 3rd ed Amsterdam ; Boston Elsevier Academic Press 2007 1 online resource (xxii, 402 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Print version record 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 Traitement du signal / Methodes statistiques COMPUTERS / Information Theory bisacsh TECHNOLOGY & ENGINEERING / Signals & Signal Processing bisacsh Signal processing / Statistical methods fast Signal processing Statistical methods Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s Signalverarbeitung (DE-588)4054947-1 s 1\p DE-604 Erscheint auch als Druck-Ausgabe Shiavi, Richard Introduction to applied statistical signal analysis 3rd ed Amsterdam ; Boston : Elsevier Academic Press, 2007 0120885816 9780120885817 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Shiavi, Richard Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications 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 Traitement du signal / Methodes statistiques COMPUTERS / Information Theory bisacsh TECHNOLOGY & ENGINEERING / Signals & Signal Processing bisacsh Signal processing / Statistical methods fast Signal processing Statistical methods Signalverarbeitung (DE-588)4054947-1 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4054947-1 (DE-588)4056995-0 |
| title | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications |
| title_auth | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications |
| title_exact_search | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications |
| title_full | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications Richard Shiavi |
| title_fullStr | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications Richard Shiavi |
| title_full_unstemmed | Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications Richard Shiavi |
| title_short | Introduction to applied statistical signal analysis |
| title_sort | introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications |
| title_sub | guide to biomedical and electrical engineering applications |
| topic | Traitement du signal / Methodes statistiques COMPUTERS / Information Theory bisacsh TECHNOLOGY & ENGINEERING / Signals & Signal Processing bisacsh Signal processing / Statistical methods fast Signal processing Statistical methods Signalverarbeitung (DE-588)4054947-1 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Traitement du signal / Methodes statistiques COMPUTERS / Information Theory TECHNOLOGY & ENGINEERING / Signals & Signal Processing Signal processing / Statistical methods Signal processing Statistical methods Signalverarbeitung Statistik |
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