Introduction to applied statistical signal analysis: guide to biomedical and electrical engineering applications
(eBook)
Author:
Contributors:
Published:
Amsterdam ; London : Academic, c2007.
Format:
eBook
Edition:
3rd ed.
ISBN:
9780080467689 (electronic bk.)
Physical Desc:
xxii, 402 pages : ill.
Status:
Ebrary (CCU)
Description
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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Ebrary (CCU)
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Citations
APA Citation (style guide)
Shiavi, R. (2007). Introduction to applied statistical signal analysis: guide to biomedical and electrical engineering applications. 3rd ed. Amsterdam ; London, Academic.
Chicago / Turabian - Author Date Citation (style guide)Shiavi, Richard. 2007. Introduction to Applied Statistical Signal Analysis: Guide to Biomedical and Electrical Engineering Applications. Amsterdam ; London, Academic.
Chicago / Turabian - Humanities Citation (style guide)Shiavi, Richard, Introduction to Applied Statistical Signal Analysis: Guide to Biomedical and Electrical Engineering Applications. Amsterdam ; London, Academic, 2007.
MLA Citation (style guide)Shiavi, Richard. Introduction to Applied Statistical Signal Analysis: Guide to Biomedical and Electrical Engineering Applications. 3rd ed. Amsterdam ; London, Academic, 2007.
Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Language:
English
Notes
General Note
Previous ed.: 1999.
Bibliography
Includes bibliographical references and index.
Reproduction
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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Grouped Work ID:
16d36bc6-1152-983c-22e3-e768cde561b1
Record Information
Last File Modification Time | Jan 04, 2024 04:51:45 PM |
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Last Grouped Work Modification Time | May 07, 2024 08:57:32 PM |
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245 | 1 | 0 | |a Introduction to applied statistical signal analysis|h [electronic resource] :|b guide to biomedical and electrical engineering applications /|c Richard Shiavi. |
250 | |a 3rd ed. | ||
260 | |a Amsterdam ;|a London :|b Academic,|c c2007. | ||
300 | |a xxii, 402 p. :|b ill. | ||
500 | |a Previous ed.: 1999. | ||
504 | |a Includes bibliographical references and index. | ||
533 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 | |a Signal processing|x Statistical methods. | |
650 | 0 | |a Engineering. | |
655 | 4 | |a Electronic books. | |
710 | 2 | |a ProQuest (Firm) | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/cochristuniv-ebooks/detail.action?docID=283966|z Click to View |