Ahmed-ElTahan/Discrete-Kalman-Filter
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.
Citar como
Ahmed ElTahan (2024). Ahmed-ElTahan/Discrete-Kalman-Filter (https://github.com/Ahmed-ElTahan/Discrete-Kalman-Filter), GitHub. Recuperado .
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- Signal Processing > Signal Processing Toolbox > Digital and Analog Filters > Digital Filter Design > Adaptive Filters >
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