Simple Kalman Filter on github

Today I made the wonderful discovery that Jupyter (IPython) notebooks that are hosted on public repositories on github are automatically rendered!

The rendering feature was added to github on May 2015 (link to announcement), so at least it’s been less than a year. This is a great thing, as it means that people like me can show off their work with a minimum of hassle.

Have a look at a simple Kalman Filter demo that I uploaded, that allows users to explore the effects of varying the filter assumptions on the resulting estimates.

Expect lots more demos to come!

About carolynpjohnston

I am an applied mathematician and developer, with 20 years of R&D experience in the mapping and remote sensing industry. I develop algorithms and systems for extracting information from imagery, producing map data, and improving the accuracy of maps produced with the aid of remote sensing imagery.
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