daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Merge pull request #164 from PLeVasseur/04-intro-to-designing-filter

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In Introduction to Designing a Filter updated to use temp_change
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Roger Labbe 2017-07-27 07:47:30 -07:00 committed by GitHub
commit 5a7257dbba
1 changed files with 2 additions and 1 deletions
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04-One-Dimensional-Kalman-Filters.ipynb
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@ -1639,9 +1639,10 @@
"voltage_std = .13\n",
"process_var = .05**2\n",
"actual_voltage = 16.3\n",
"dt = 1. # time step in seconds\n",
"\n",
"x = (25, 1000) # initial state\n",
"process_model = (0., process_var)\n",
"process_model = (temp_change*dt, process_var)\n",
"\n",
"N = 50\n",
"zs = [volt(actual_voltage, voltage_std) for i in range(N)]\n",