Reran cells - checked in version had no plots.

04-One-Dimensional-Kalman-Filters.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 1,
    "metadata": {
     "collapsed": false
    },
@@ -289,7 +289,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -335,7 +335,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false
    },
@@ -1107,7 +1107,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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truncated
+       "<img src=\"data:image/png;base64,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 truncated
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -1139,7 +1139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
@@ -1911,7 +1911,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -1924,7 +1924,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mean of readings is 10.039\n"
+      "Mean of readings is 10.004\n"
      ]
     }
    ],
@@ -1972,7 +1972,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -2745,7 +2745,7 @@
     {
      "data": {
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+   "execution_count": 5,
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@@ -2867,7 +2867,7 @@
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+   "execution_count": 6,
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@@ -2878,7 +2878,7 @@
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-     "execution_count": 36,
+     "execution_count": 6,
      "metadata": {},
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@@ -2942,7 +2942,7 @@
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+   "execution_count": 7,
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@@ -2991,7 +2991,7 @@
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+   "execution_count": 8,
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@@ -3764,7 +3764,7 @@
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       "text/plain": [
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@@ -3816,7 +3816,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
@@ -4588,7 +4588,7 @@
     {
      "data": {
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       "text/plain": [
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@@ -4638,7 +4638,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
@@ -5410,7 +5410,7 @@
     {
      "data": {
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   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -6996,7 +6996,7 @@
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      "data": {
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       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -7025,7 +7025,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false,
     "scrolled": false
@@ -7101,7 +7101,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
@@ -7873,7 +7873,7 @@
     {
      "data": {
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   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 14,
    "metadata": {
     "collapsed": true
    },
@@ -8119,7 +8119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
@@ -8891,7 +8891,7 @@
     {
      "data": {
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@@ -9081,7 +9081,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -9854,7 +9854,7 @@
     {
      "data": {
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       "text/plain": [
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@@ -9890,7 +9890,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -10662,7 +10662,7 @@
     {
      "data": {
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       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -10711,7 +10711,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -10734,7 +10734,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false,
     "scrolled": false
@@ -11507,7 +11507,7 @@
     {
      "data": {
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       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -12387,7 +12387,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
@@ -13159,7 +13159,7 @@
     {
      "data": {
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    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 21,
    "metadata": {
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    },
@@ -13984,7 +13984,7 @@
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       "text/plain": [
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@@ -14036,7 +14036,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 22,
    "metadata": {
     "collapsed": false
    },
@@ -14808,7 +14808,7 @@
     {
      "data": {
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       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -14857,7 +14857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -15629,7 +15629,7 @@
     {
      "data": {
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   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
@@ -16444,7 +16444,7 @@
     {
      "data": {
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    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
@@ -17307,7 +17307,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
@@ -18079,7 +18079,7 @@
     {
      "data": {
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@@ -18149,7 +18149,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
@@ -18167,7 +18167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -18940,7 +18940,7 @@
     {
      "data": {
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@@ -19022,7 +19022,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
@@ -19033,7 +19033,7 @@
        "(11, 7.000)"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -19058,7 +19058,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
@@ -19069,7 +19069,7 @@
        "(11.350, 4.550)"
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      },
-     "execution_count": 60,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -19119,7 +19119,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "version": "3.5.1"
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