Discrete stochastic processes and optimal filtering:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
London, U.K.
ISTE
2010
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Ausgabe: | 2nd ed |
Schriftenreihe: | Digital signal and image processing series
|
Schlagworte: | |
Online-Zugang: | FRO01 UBG01 Volltext |
Beschreibung: | Translated from French Includes bibliographical references and index Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigation in aerospace and aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random and Gaussian vectors, outlining the results necessary for the creation of Wiener and adaptive filters used for stationary signals, as well as examining Kalman filters which are used in relation to non-stationary signals. Exercises with solutions feature in each chapter to demonstrate the practical application of these ideas using MATLAB. |
Beschreibung: | 1 Online-Ressource (xii, 287 pages) |
ISBN: | 9781118600481 1118600487 9781118600351 1118600355 9781118600535 1118600533 9781848211810 1848211813 |
Internformat
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245 | 1 | 0 | |a Discrete stochastic processes and optimal filtering |c Jean-Claude Bertein, Roger Ceschi |
250 | |a 2nd ed | ||
264 | 1 | |a London, U.K. |b ISTE |c 2010 | |
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500 | |a Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigation in aerospace and aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random and Gaussian vectors, outlining the results necessary for the creation of Wiener and adaptive filters used for stationary signals, as well as examining Kalman filters which are used in relation to non-stationary signals. Exercises with solutions feature in each chapter to demonstrate the practical application of these ideas using MATLAB. | ||
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650 | 7 | |a Signal processing / Mathematics |2 fast | |
650 | 7 | |a Stochastic processes |2 fast | |
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Datensatz im Suchindex
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author | Bertein, Jean-Claude |
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dewey-search | 621.382/2 |
dewey-sort | 3621.382 12 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
edition | 2nd ed |
format | Electronic eBook |
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indexdate | 2024-07-10T07:24:49Z |
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isbn | 9781118600481 1118600487 9781118600351 1118600355 9781118600535 1118600533 9781848211810 1848211813 |
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series2 | Digital signal and image processing series |
spelling | Bertein, Jean-Claude Verfasser aut Discrete stochastic processes and optimal filtering Jean-Claude Bertein, Roger Ceschi 2nd ed London, U.K. ISTE 2010 1 Online-Ressource (xii, 287 pages) txt rdacontent c rdamedia cr rdacarrier Digital signal and image processing series Translated from French Includes bibliographical references and index Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigation in aerospace and aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random and Gaussian vectors, outlining the results necessary for the creation of Wiener and adaptive filters used for stationary signals, as well as examining Kalman filters which are used in relation to non-stationary signals. Exercises with solutions feature in each chapter to demonstrate the practical application of these ideas using MATLAB. COMPUTERS / Information Theory bisacsh TECHNOLOGY & ENGINEERING / Signals & Signal Processing bisacsh Digital filters (Mathematics) fast Signal processing / Mathematics fast Stochastic processes fast Mathematik Signal processing / Mathematics Digital filters (Mathematics) Stochastic processes Ceschi, Roger Sonstige oth https://onlinelibrary.wiley.com/doi/book/10.1002/9781118600351 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Bertein, Jean-Claude Discrete stochastic processes and optimal filtering COMPUTERS / Information Theory bisacsh TECHNOLOGY & ENGINEERING / Signals & Signal Processing bisacsh Digital filters (Mathematics) fast Signal processing / Mathematics fast Stochastic processes fast Mathematik Signal processing / Mathematics Digital filters (Mathematics) Stochastic processes |
title | Discrete stochastic processes and optimal filtering |
title_auth | Discrete stochastic processes and optimal filtering |
title_exact_search | Discrete stochastic processes and optimal filtering |
title_full | Discrete stochastic processes and optimal filtering Jean-Claude Bertein, Roger Ceschi |
title_fullStr | Discrete stochastic processes and optimal filtering Jean-Claude Bertein, Roger Ceschi |
title_full_unstemmed | Discrete stochastic processes and optimal filtering Jean-Claude Bertein, Roger Ceschi |
title_short | Discrete stochastic processes and optimal filtering |
title_sort | discrete stochastic processes and optimal filtering |
topic | COMPUTERS / Information Theory bisacsh TECHNOLOGY & ENGINEERING / Signals & Signal Processing bisacsh Digital filters (Mathematics) fast Signal processing / Mathematics fast Stochastic processes fast Mathematik Signal processing / Mathematics Digital filters (Mathematics) Stochastic processes |
topic_facet | COMPUTERS / Information Theory TECHNOLOGY & ENGINEERING / Signals & Signal Processing Digital filters (Mathematics) Signal processing / Mathematics Stochastic processes Mathematik |
url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118600351 |
work_keys_str_mv | AT berteinjeanclaude discretestochasticprocessesandoptimalfiltering AT ceschiroger discretestochasticprocessesandoptimalfiltering |