Ahmed-ElTahan/Discrete-Kalman-Filter

Version 1.0.0.0 (789 KB) by Ahmed ElTahan
This is an example illustrates the use of Kalman filter as an optimal estimator
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Updated 24 Jun 2016
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A Kalman filter is an optimal estimator - i.e. infers parameters of interest from indirect, inaccurate and uncertain observations. It is recursive so that new measurements can be processed as they arrive. (cf batch processing where all data must be present).
The Algorithm is applied to a free falling object example to demonstrate the use of the Kalman Filter.
A document has been attached to summarize the algorithm.

Cite As

Ahmed ElTahan (2024). Ahmed-ElTahan/Discrete-Kalman-Filter (https://github.com/Ahmed-ElTahan/Discrete-Kalman-Filter), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.