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Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.
Introduction to Optimal Estimation
Jezik
Angleščina
Angleščina
Knjiga
Mehka
This book provides an introductory, yet comprehensive, treatment of both Wiener and Kalman filtering...
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Koda Libristo: 06798558
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This book provides an introductory, yet comprehensive, treatment of both Wiener and Kalman filtering along with a development of least-squares estimation, maximum likelihood estimation, and maximum a posteriori estimation based on discrete-time measurements. Although this is a fairly broad range of estimation techniques, it is possible to cover all of them in some depth in a single textbook, which is what is attempted here. Emphasis is also placed on showing how these different approaches to estimation fit together to form a systematic development of optimal estimation. MATLAB is used in the development of a number of the book's examples and required for many of the homework problems.
Igralka
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Poliglotka
EWA KASP
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O knjigi
Polni naslov
Introduction to Optimal Estimation
Avtor
Edward E. Kamen, Jonathan R. Su
Jezik
Angleščina
Angleščina
Vezava
Knjiga - Mehka
Datum izida
2001
Število strani
380
EAN
9781852331337
ISBN
185233133X
Koda Libristo
06798558
Založba
Springer, Berlin
Teža
592
Mere
155 x 235 x 21
Kategorije
Reference, Information & Interdisciplinary subjects
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Research & information: general
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Information theory
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Cybernetics & systems theory
Technology, Engineering, Agriculture
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Electronics & communications engineering
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Electronics engineering
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Electronic devices & materials
Technology, Engineering, Agriculture
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Electronics & communications engineering
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Electronics engineering
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Automatic control engineering
