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Publicado por ISTE Ltd and John Wiley & Sons Inc, London, 2009
ISBN 10: 1848211813 ISBN 13: 9781848211810
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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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ISBN 10: 1848211813 ISBN 13: 9781848211810
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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: 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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Añadir al carritoGebunden. 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 navigati.
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ISBN 10: 1848211813 ISBN 13: 9781848211810
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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: 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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ISBN 10: 1848211813 ISBN 13: 9781848211810
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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.