Jean claude bertein (27 Ergebnisse)

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Hardcover. Zustand: As New. No Jacket. 1st Edition. First UK edition in as new condition throughout. 8vo. xiv, 287pp.

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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Zustand: As New. Unread book in perfect condition.

Zustand: 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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Zustand: 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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Hardback. Zustand: 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.…

Hardcover. Zustand: Brand New. illustrated edition. 288 pages. 9.25x6.25x0.75 inches. In Stock.

Zustand: 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.…

Zustand: 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.…

Hardback. Zustand: 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.…