DSBSC-using-Python

DSBSC Modulation and Demodulation using NumPy and Matplotlib

Aim:

To implement and analyze DSBSC modulation using Python's NumPy and Matplotlib libraries.

Apparatus :

                  Software: Python with NumPy and Matplotlib libraries
                  Hardware: Personal Computer

Algorithm:

       1. Initialize Parameters: Set values for carrier amplitude (AcA_cAc), carrier frequency (fcf_cfc), message frequency(fmf_mfm), sampling frequency, and phase deviation sensitivity (kpk_pkp).

       2. Generate Time Axis: Create a time vector for the signal duration based on the sampling frequency.

       3. Generate Message Signal: Define the message signal as a cosine wave.

       4. Generate PM Signal: Apply the PM modulation formula to obtain the modulated signal.

       5. Plot the Signals: Use Matplotlib to plot the message signal, carrier signal, and phase-modulated signal.

Program:

import numpy as np

import matplotlib.pyplot as plt

Am = 20.4

fm = 404

Ac = 40.8

fc = 4040

fs = 40400

t = np.arange(0, 2/fm, 1/fs)

m = Am * np.cos(2 * np.pi * fm * t)

c = Ac * np.cos(2 * np.pi * fc * t)

s1 = (Ac + m) * np.cos(2 * np.pi * fc * t)

s2 = (Ac - m) * np.cos(2 * np.pi * fc * t)

s = s1 - s2

plt.subplot(3,1,1)

plt.plot(t, m)

plt.subplot(3,1,2)

plt.plot(t, c)

plt.subplot(3,1,3)

plt.plot(t, s)

Output Waveform:

Tabular Column:

Result:

The message signal, carrier signal, and DSBSC signal will be displayed in separate plots.

Thus DSBSC is implemented using numPy and Matplotlib.