A Spectral Representation Method for Continuous-time Stochastic System Estimation Based on Analog Data Records PDF Download
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Author: P. Nurprasetio
Publisher:
ISBN:
Category : Stochastic systems
Languages : en
Pages : 68
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Book Description
Author: P. Nurprasetio
Publisher:
ISBN:
Category : Stochastic systems
Languages : en
Pages : 68
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 42
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Book Description
Author:
Publisher:
ISBN:
Category : Mechanics, Applied
Languages : en
Pages : 1036
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Author:
Publisher:
ISBN:
Category : Buildings
Languages : en
Pages : 702
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Book Description
Author:
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 820
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Author:
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ISBN:
Category : Aeronautics
Languages : en
Pages : 1346
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Author:
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ISBN:
Category : Mathematics
Languages : en
Pages : 848
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Author: Companhia de Tecnologia de Saneamento Ambiental (São Paulo, Brazil). Biblioteca
Publisher:
ISBN:
Category : Environmental engineering
Languages : en
Pages : 422
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Book Description
Author: Silvia Maria Alessio
Publisher: Springer
ISBN: 3319254685
Category : Technology & Engineering
Languages : en
Pages : 909
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Book Description
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.
Author: Anders Lindquist
Publisher: Springer
ISBN: 3662457504
Category : Science
Languages : en
Pages : 788
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Book Description
This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in the 1940s with the work of Kolmogorov, Wiener, Cramér and his students, in particular Wold, and have since been refined and complemented by many others. Problems concerning the filtering and modeling of stationary random signals and systems have also been addressed and studied, fostered by the advent of modern digital computers, since the fundamental work of R.E. Kalman in the early 1960s. The book offers a unified and logically consistent view of the subject based on simple ideas from Hilbert space geometry and coordinate-free thinking. In this framework, the concepts of stochastic state space and state space modeling, based on the notion of the conditional independence of past and future flows of the relevant signals, are revealed to be fundamentally unifying ideas. The book, based on over 30 years of original research, represents a valuable contribution that will inform the fields of stochastic modeling, estimation, system identification, and time series analysis for decades to come. It also provides the mathematical tools needed to grasp and analyze the structures of algorithms in stochastic systems theory.
