(tx + x + x). (tx + ²x + ¹x). (Ex + ¹x) = f f₁ = x₁ x3 + x₂x3 + x3 x4 + x₁x₂ + x₁x4

implify the following expressions:         (X + Y’) · (X + Y)  A’ B’ C’ + A’ B’ C + A B’ C’ + A B’ C + A B C’ + A B C

Modify the code code_01_03.py by changing the magnitude contributions of the sine and cosine so that the sum of the magnitude factors is always 10.  import numpy as np#import scipy.signal as signalimport matplotlib.pyplot as pltif __name__ == '__main__':# Test bench areaprint ("Hello")t = np.arange(0.0, 0.05, 0.05/100 )s1 = 5*np.cos(2*np.pi*100*t)+5*np.sin(2*np.pi*100*t)plt.figure(1)plt.plot(t, s1, '-')# plt.title('Sign')plt.xlabel('Time[s]')plt.ylabel('Amplitude')S1=np.fft.fft(s1)f=np.arange(0.0, 1.0 , 1.0/50)plt.figure(2)plt.stem(f,abs(S1[0:50]))plt.xlabel('Normalized Frequency f_s/2')plt.ylabel('Magnitude')fase = np.angle(S1)y= [fase[5]]x=[0.1]plt.figure(3)plt.stem(x,y)plt.xlabel('Normalized Frequency a f_s/2')plt.ylabel('Fase [rad]')plt.show()

P9. VConstruct a truth table based on the following Boolean expressions below:  F = (A' + B' + C') (A + B + C) (A' + B' + C) (A + B + C')..