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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 287 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Publicado por ISTE Ltd and John Wiley & Sons Inc, London, 2007
ISBN 10: 1905209746 ISBN 13: 9781905209743
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Añadir al carritoHardcover. Condición: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por ISTE Ltd and John Wiley and Sons Inc, GB, 2007
ISBN 10: 1905209746 ISBN 13: 9781905209743
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Añadir al carritoHardback. Condición: New. 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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Añadir al carritoCondición: New. 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. Series: Digital Signal & Image Processing. Num Pages: 288 pages, Illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 238 x 164 x 21. Weight in Grams: 586. . 2007. Hardcover. . . . .
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Publicado por ISTE Ltd and John Wiley and Sons Inc, GB, 2007
ISBN 10: 1905209746 ISBN 13: 9781905209743
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Añadir al carritoHardback. Condición: New. 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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ISBN 10: 1905209746 ISBN 13: 9781905209743
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Añadir al carritoHardcover. Condición: Brand New. illustrated edition. 288 pages. 9.25x6.25x0.75 inches. In Stock.
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Añadir al carritoCondición: New. 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 navigati.
Idioma: Inglés
Publicado por ISTE Ltd and John Wiley and Sons Inc, GB, 2007
ISBN 10: 1905209746 ISBN 13: 9781905209743
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Añadir al carritoHardback. Condición: New. 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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Añadir al carritoCondición: New. 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. Series: Digital Signal & Image Processing. Num Pages: 288 pages, Illustrations. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 238 x 164 x 21. Weight in Grams: 586. . 2007. Hardcover. . . . . Books ship from the US and Ireland.
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Añadir al carritoBuch. Condición: Neu. Neuware - 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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Añadir al carritoBuch. Condición: Neu. Discrete Stochastic Processes and Optimal Filtering | Jean-Claude Bertein (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2007 | Wiley | EAN 9781905209743 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por ISTE Ltd and John Wiley and Sons Inc, GB, 2007
ISBN 10: 1905209746 ISBN 13: 9781905209743
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Añadir al carritoHardback. Condición: New. 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.
Idioma: Inglés
Publicado por ISTE Ltd and John Wiley & Sons Inc, London, 2007
ISBN 10: 1905209746 ISBN 13: 9781905209743
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Añadir al carritoHardcover. Condición: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.