slidesgo-generating-nbfm-signals-using-matlab-20240701172836ZNCH.pdf

Fl ebejjskrknfndnnsmmxmdndnndmdmnshekksndnxnmdmxmmdkd

1. Generating NBFM
Signals Using MATLAB

2. Introduction
This presentation will demonstrate how to
generate NBFM signals using
MATLAB. We will
cover the basics of NBFM and provide step-by-step instructions for creating NBFM
signals in MATLAB.

3. Understanding
NBFM Signals
Before diving into the process of generating NBFM signals, it's
crucial to understand the concept of Narrowband Frequency
Modulation (NBFM). We will explore the key characteristics and
applications of NBFM signals.

4. MATLAB Signal Generation
Basics
To generate NBFM signals in MATLAB, it's essential
to grasp the fundamental concepts of signal
generation. We will delve into the signal generation
functions and parameters in MATLAB, providing
insights into the process.

5. Implementing NBFM
Modulation in MATLAB
This section will focus on the practical
implementation of NBFM modulation in MATLAB. We
will discuss the necessary steps and MATLAB
functions required to modulate a carrier signal with
an audio signal to create NBFM signals.

6. % Parameters
Fs = 10000; % Sampling frequency (Hz)
T = 1; % Duration of the signal (seconds)
Fc = 300; % Carrier frequency (Hz)
Fm = 10; % Modulating frequency (Hz)
Beta = 0.5; % Modulation index
% Time vector
t = 0:1/Fs:T-1/Fs;
% Modulating signal (message signal)
m = cos(2*pi*Fm*t);
% NBFM signal
nbfm_signal = cos(2*pi*Fc*t + Beta*sin(2*pi*Fm*t));
% Demodulation
% First, differentiate the NBFM signal
d_nbfm_signal = [0, diff(nbfm_signal) * Fs];
% Envelope detection using Hilbert transform
envelope = abs(hilbert(d_nbfm_signal));
% Demodulated signal (after removing the DC
component)
demodulated_signal = envelope - mean(envelope);
% Plotting
figure;
% Modulating Signal
subplot(3,1,1);
plot(t, m);
title('Modulating Signal');
xlabel('Time (s)');
ylabel('Amplitude');
% NBFM Signal
subplot(3,1,2);
plot(t, nbfm_signal);
title('Narrow Band FM Signal');
xlabel('Time (s)');
ylabel('Amplitude');
% Demodulated Signal
subplot(3,1,3);
plot(t, demodulated_signal);
title('Demodulated Signal');
xlabel('Time (s)');
ylabel('Amplitude');
Code

7. Analyzing NBFM Signals
After generating NBFM signals, it's crucial to analyze and visualize the characteristics of the signals.
We will explore various signal analysis tools in MATLAB to examine the frequency spectrum and time-
domain representation of NBFM signals.

8. Conclusion
In conclusion, this presentation has provided a comprehensive guide to generating NBFM signals using MATLAB.
By understanding the fundamentals of NBFM and mastering the signal generation process in MATLAB, one can
effectively create and analyze NBFM signals for various applications.

9. Thanks!