daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Fixed latex typo.

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Roger Labbe 2015-12-19 16:17:40 -08:00
parent ba553f2068
commit 3c270d0c87
2 changed files with 1 additions and 1 deletions
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07-Kalman-Filter-Math.ipynb
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@ -1618,7 +1618,7 @@
"\\end{aligned}\n",
"$$\n",
"\n",
"As above, all of the matrices become scalars. $H$ defines how we convert from a position to a measurement. Both are positions, so there is no conversion, and thus $H=1$. Let's substitute in our known values and convert to scalar in one step. The inverse of a 1$\\times$1 matrix is the reciprocal of the value so we will convert the matrix inversion to division.\n",
"As above, all of the matrices become scalars. $H$ defines how we convert from a position to a measurement. Both are positions, so there is no conversion, and thus $H=1$. Let's substitute in our known values and convert to scalar in one step. The inverse of a 1x1 matrix is the reciprocal of the value so we will convert the matrix inversion to division.\n",
"\n",
"$$\n",
"\\begin{aligned}\n",

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code/RobotLocalizationParticleFilter.py → experiments/RobotLocalizationParticleFilter.py
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