6th Semester Files

6th-Semester-Spring-2024/DSP/Labs/Lab-02/lab-02-5.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+def x(n):
+    return (1/n) * np.heaviside(n, 0.5)
+
+n = np.arange(1,100)
+
+y = x(n)
+
+E_x_total = 0
+E_x = np.zeros(len(y))
+
+for i in range(len(y)):
+    E_x_total += abs(y[i])**2
+    E_x[i] = E_x_total
+
+fig, ax = plt.subplots()
+ax.scatter(n,y, label="x[n]")
+ax.scatter(n, E_x, c='red', label="E_x")
+ax.axhline(np.pi**2 / 6, linestyle='-')
+ax.legend()
+plt.show()