An introduction to Kalman filtering with MATLAB examples /
The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applicati...
| Main Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
[San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA)] :
Morgan & Claypool Publishers,
[2014]
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| Series: | Synthesis lectures on signal processing ;
#12. |
| Subjects: | |
| Online Access: | View fulltext via EzAccess |