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Introduction to Optimal Estimation
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Introduction to Optimal Estimation

An introduction to 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. MATLAB is used in some of the examples and required for many of the homework problems.
Upplaga
1999 ed.
ISBN
9781852331337
Språk
Engelska
Vikt
310 gram
Utgivningsdatum
1999-09-30
Sidor
380