Kalman-and-Bayesian-Filters.../code
Roger Labbe 5f7c7de378 More info on mean, std, and variance.
I had information on these rather buried, and did not have a single example
of how to compute them. Now the first part of the chapter covers this much
more thoroughly.

Also added a section on plotting exponentials. Not sure I want to retain
it; it is a bit 'light'.
2015-03-07 15:27:56 -08:00
..
538.json Minor fixes. 2015-03-05 21:50:43 -08:00
book_plots.py Normalized plot styles across chapters. 2015-01-31 22:42:19 -08:00
DogSensor.py More work on R and Q. 2014-11-19 23:50:11 -08:00
ekf_internal.py Extensive addtions to UKF chapter. 2015-02-22 11:33:51 -08:00
gaussian_internal.py more changes for code directory 2014-09-01 19:44:18 -07:00
gh_internal.py made code directory 2014-09-01 19:26:50 -07:00
gif_animate.py Added covariance ellipse animatoin. 2014-09-15 20:07:26 -07:00
mkf_internal.py Reworked section on multivariate correlations 2015-02-01 20:39:08 -08:00
nonlinear_plots.py Refactoring UKF chapter. 2015-02-16 07:10:01 -08:00
secnum.js Edits for reorg 2015-01-27 15:14:06 -08:00
secnum.py Fixed heading numbers. 2015-03-03 12:52:44 -08:00
stats.py More info on mean, std, and variance. 2015-03-07 15:27:56 -08:00
ukf_internal.py Expanded ILS coverage. 2015-03-01 11:16:59 -08:00