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Condizione: New.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: ISTE Ltd and John Wiley & Sons Inc, London, 2009
ISBN 10: 1848211813 ISBN 13: 9781848211810
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: 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.
Condizione: New. pp. xii + 287 2nd Edition.
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Aggiungi al carrelloCondizione: New. pp. xii + 287 Illus.
Lingua: Inglese
Editore: ISTE Ltd and John Wiley & Sons Inc, 2009
ISBN 10: 1848211813 ISBN 13: 9781848211810
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 183,03
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Aggiungi al carrelloCondizione: 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: ISTE. Num Pages: 320 pages, Illustrations. BIC Classification: PBWL; TJK; UYS. Category: (P) Professional & Vocational. Dimension: 238 x 156 x 22. Weight in Grams: 580. . 2010. 2nd Edition. Hardcover. . . . .
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Aggiungi al carrelloGebunden. Condizione: 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.
Lingua: Inglese
Editore: ISTE Ltd and John Wiley & Sons Inc, 2010
ISBN 10: 1848211813 ISBN 13: 9781848211810
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: 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: ISTE. Num Pages: 320 pages, Illustrations. BIC Classification: PBWL; TJK; UYS. Category: (P) Professional & Vocational. Dimension: 238 x 156 x 22. Weight in Grams: 580. . 2010. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: ISTE Ltd and John Wiley & Sons Inc, London, 2009
ISBN 10: 1848211813 ISBN 13: 9781848211810
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 263,98
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Aggiungi al carrelloHardcover. Condizione: 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.