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Discrete stochastic processes and optimal filtering /
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 pro...
| Hovedforfatter: | |
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| Andre forfattere: | |
| Format: | Printed Book |
| Sprog: | English French |
| Udgivet: |
London, U.K. : Hoboken, N.J. :
ISTE ; John Wiley,
2010.
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| Udgivelse: | 2nd ed. |
| Serier: | Digital signal and image processing series.
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| Fag: | |
| Online adgang: | Publisher description Table of contents only |
| LEADER | 02447cam a2200409 a 4500 | ||
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| 003 | inmpuc | ||
| 005 | 20201022163000.0 | ||
| 008 | 091008s2010 enka b 001 0 eng | ||
| 010 | |a 2009038813 | ||
| 020 | |a 9781848211810 | ||
| 020 | |a 1848211813 | ||
| 035 | |a (OCoLC)ocn456420541 | ||
| 040 | |a DLC |c DLC |d YDX |d NLE |d CUD |d YDXCP |d BWX |d BWK |d UV0 |d IUA |d DLC | ||
| 041 | 1 | |a eng |h fre | |
| 082 | 0 | 0 | |a 621.3822 |2 22 |
| 100 | 1 | |a Bertein, Jean-Claude. | |
| 245 | 1 | 0 | |a Discrete stochastic processes and optimal filtering / |c Jean-Claude Bertein, Roger Ceschi. |
| 250 | |a 2nd ed. | ||
| 260 | |a London, U.K. : |b ISTE ; |a Hoboken, N.J. : |b John Wiley, |c 2010. | ||
| 300 | |a xii, 287 p. : |b ill. ; |c 24 cm. | ||
| 490 | 1 | |a Digital signal and image processing series | |
| 500 | |a Translated from French. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Signal processing |x Mathematics. | |
| 650 | 0 | |a Digital filters (Mathematics) | |
| 650 | 0 | |a Stochastic processes. | |
| 700 | 1 | |a Ceschi, Roger. | |
| 830 | 0 | |a Digital signal and image processing series. | |
| 856 | 4 | 2 | |3 Publisher description |u http://www.loc.gov/catdir/enhancements/fy1004/2009038813-d.html |
| 856 | 4 | 1 | |3 Table of contents only |u http://www.loc.gov/catdir/enhancements/fy1402/2009038813-t.html |
| 906 | |a 7 |b cbc |c orignew |d 1 |e ecip |f 20 |g y-gencatlg | ||
| 942 | |2 ddc |c BK | ||
| 955 | |b xh12 2009-10-08 |i xh12 2009-10-08 |a xe06 2010-06-07 1 copy rec'd., to CIP ver. |a xh00 2010-06-09 to USPL/STM | ||
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| 952 | |0 0 |1 0 |2 ddc |4 0 |6 621_382200000000000_BER_D |7 0 |9 408883 |a DCS |b DCS |c ST1 |d 2020-10-22 |i 597 |l 0 |o 621.3822 BER/D |p DCS597 |r 2020-10-22 |w 2020-10-22 |y BK | ||