How to deal with interval measurement uncertainty?
This is the Box particle filter code, for the examples from the book chapter in:
A. Gning, L. Mihaylova, F. Abdallah, B. Ristic, Particle Filtering Combined with Interval Methods for Tracking Applications, Integrated Tracking, Classification, and Sensor Management: Theory and Applications, Eds. M. Mallick, V. Krishnamurthy, B.-N. Vo, John Wiley & Sons, New Jersey, USA, pp. 43--74, 2012.
- re_sample.c needs to be "mexified" to your Windows version ( you should already have it from the crowd Box-PF code. All you have to do is to run single_run_BPF. A part from that you have the boxpf code inside bpfsimu and the simulation itself is in gen_meas.
Cite As
Lyudmila Mihaylova (2026). How to deal with interval measurement uncertainty? (https://uk.mathworks.com/matlabcentral/fileexchange/49062-how-to-deal-with-interval-measurement-uncertainty), MATLAB Central File Exchange. Retrieved .
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- Signal Processing > Signal Processing Toolbox > Digital and Analog Filters > Digital Filter Analysis >
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