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- Algorithm
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- Update:
- 2017-11-20
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Description: Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by using Bayesian inference and estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. , one of the primary developers of its theory.
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File list (Check if you may need any files):
Filename | Size | Date |
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Kalman filter\Kalman.c | 2937 | 2009-09-09
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Kalman filter\Kalman.cpp | 4754 | 2009-09-09
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Kalman filter\kalman.m | 3414 | 2009-09-16
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Kalman filter |