Ahmed-ElTahan/Discrete-Kalman-Filter
This is an example illustrates the use of Kalman filter as an optimal estimator
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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 (2026). Ahmed-ElTahan/Discrete-Kalman-Filter (https://github.com/Ahmed-ElTahan/Discrete-Kalman-Filter), GitHub. Retrieved .
General Information
- Version 1.0.0.0 (789 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 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.
