Archive of posts tagged: Measurements
Kalman filtering without Bayesians and Gaussians (II)
This is the second of a multi-part post that introduces Kalman filtering in an accessible way to computer systems researchers. In the previous post, we described how two noisy estimates of a scalar quantity such as temperature can be fused using the optimal linear...
Kalman filtering without Bayesians and Gaussians
Kalman filtering shows us how to fuse noisy measurements.
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