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Titlebook: Digital Signal Processing and Spectral Analysis for Scientists; Concepts and Applica Silvia Maria Alessio Textbook 2016 Springer Internatio

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書目名稱Digital Signal Processing and Spectral Analysis for Scientists
副標(biāo)題Concepts and Applica
編輯Silvia Maria Alessio
視頻videohttp://file.papertrans.cn/280/279674/279674.mp4
概述Takes digital signal processing beyond the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines.Emphasizes results and their practical i
叢書名稱Signals and Communication Technology
圖書封面Titlebook: Digital Signal Processing and Spectral Analysis for Scientists; Concepts and Applica Silvia Maria Alessio Textbook 2016 Springer Internatio
描述This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.
出版日期Textbook 2016
關(guān)鍵詞Digital Filters; Digital Signal Processing; Discrete-time Signals; Evolutionary Spectral Analysis; Stati
版次1
doihttps://doi.org/10.1007/978-3-319-25468-5
isbn_softcover978-3-319-79795-3
isbn_ebook978-3-319-25468-5Series ISSN 1860-4862 Series E-ISSN 1860-4870
issn_series 1860-4862
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Textbook 2016aint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based o
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Bing Wu,Jianmin Chen,Jie Wu,Mihaela Cardeie thus have the Yule-Walker method, the covariance and modified covariance methods, Burg’s method and the maximum entropy method. These methods provide better resolution than non-parametric ones, especially when the record is short.
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Parametric Spectral Methodse thus have the Yule-Walker method, the covariance and modified covariance methods, Burg’s method and the maximum entropy method. These methods provide better resolution than non-parametric ones, especially when the record is short.
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