daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Fixed spelling mistake.

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Roger Labbe 2015-12-13 11:01:15 -08:00
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06-Multivariate-Kalman-Filters.ipynb
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@ -320,7 +320,7 @@
"x &= vt + x_0\\end{aligned}$$\n",
"\n",
"\n",
"When you design a Kalman filter you start with a system of differential equations that describe the dynamics of the system. Most systems of differential equations do not easily integrate in this way. We start with Newton's equqation because we can integrate and get a closed form solution, which makes the Kalman filter easier to design. An added benefit is that Newton's equations are the right equations to use to track objects, which is one of the main uses of Kalman filters."
"When you design a Kalman filter you start with a system of differential equations that describe the dynamics of the system. Most systems of differential equations do not easily integrate in this way. We start with Newton's equation because we can integrate and get a closed form solution, which makes the Kalman filter easier to design. An added benefit is that Newton's equations are the right equations to use to track objects, which is one of the main uses of Kalman filters."
]
},
{