Update README.md

Author: manjunkoh

README.md

@@ -4,19 +4,8 @@ This repository contains source codes and a Jupyter Notebook tutorial for 1 dime
 **Best way is to download the Jupyter Notebook to see the tutorial**
 
 The tutorial estimates the system below:
-```math
-    "\n",
-    "$$x_{k+1} = f [ k , x_k , v_k ] = 2 \\operatorname { atan } [ x_k ] + 0.5 * \\cos ( \\pi k / 3 ) + v_k$$\n",
-    "\n",
-    "$$z_k = h [ k , x_k ] + w_k = x_k + x_k ^ { 2 } + x_k ^ { 3 } + w_k$$\n",
-    "\n",
-    "$$E \\{ v_k \\} = 0 , E \\{ v_k v_j \\} = \\delta _ { j k } Q_k\\ where\\ Q_k = 1$$\n",
-    "\n",
-    "$$E \\{ w_k \\} = 0 , E \\{ w_k w_j \\} = \\delta _ { j k } R_k\\ where\\ R_k= 0.25$$\n",
-    "\n",
-    "$$\\quad \\hat { x }_0 = 4 , P_0 = 2$$\n",
-    "\n",
-    ```
+
+![e](equation.png)
 
 I got this example from a class taught by Dr. Psiaki. But one can solve other 1D systems they want and modifying in the source codes. The prerequisites to fully understand this document Bayesian Statistics and Kalman Filter.