Computer Architecture Today

Informing the broad computing community about current activities, advances and future directions in computer architecture.

Archive of posts tagged: Data fusion

Kalman filtering without Bayesians and Gaussians (II)

by Yan Pei, Swarnendu Biswas, Don Fussell, and Keshav Pingali on Jan 29, 2018 | Tags: Data fusion, Kalman filters, Measurements, State estimation in linear systems

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

by Yan Pei, Swarnendu Biswas, Don Fussell, and Keshav Pingali on Dec 12, 2017 | Tags: Data fusion, Kalman filters, Measurements

Kalman filtering shows us how to fuse noisy measurements.

Computer Architecture Today

Kalman filtering without Bayesians and Gaussians (II)

Kalman filtering without Bayesians and Gaussians

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