ISBN: 9781848211810 - discrete stochastic processes and optimal filtering (digital signal and image processing) (3 Ergebnisse)

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  • Sprache: Englisch

    Verlag: John Wiley & Sons, 2009

    1848211813 / 9781848211810

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    EUR 179,73

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    Gebunden. 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 navigati.

  • Sprache: Englisch

    Verlag: ISTE Ltd and John Wiley & Sons Inc, 2010

    1848211813 / 9781848211810

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    Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore

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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: 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.…

  • Sprache: Englisch

    Verlag: Wiley Jan 2010, 2010

    1848211813 / 9781848211810

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    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Buch. Zustand: 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.…