An introduction to Kalman filtering with MATLAB examples / Narayan Kovvali, Mahesh Banavar, and Andreas Spanias.
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...
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Full Text (via Morgan & Claypool) Full Text (via Morgan & Claypool) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
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| Series: | Synthesis lectures on signal processing (Online) ;
# 12. |
| Subjects: |
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Full Text (via Morgan & Claypool)Full Text (via Morgan & Claypool)
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| Call Number: |
QA402.3 .K685 2014
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| QA402.3 .K685 2014 | Available |