📄 am_dem.m
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% am-dem.m
% Matlab demonstration script for envelope detection. The message signal
% is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3 and zero otherwise.
echo on
t0=.15; % signal duration
ts=0.001; % sampling interval
fc=250; % carrier frequency
a=0.85; % Modulation index
fs=1/ts; % sampling frequency
t=[0:ts:t0]; % time vector
df=0.25; % required frequency resolution
% message signal
m=[ones(1,t0/(3*ts)),-2*ones(1,t0/(3*ts)),zeros(1,t0/(3*ts)+1)];
c=cos(2*pi*fc.*t); % carrier signal
m_n=m/max(abs(m)); % normalized message signal
[M,m,df1]=fftseq(m,ts,df); % Fourier transform
f=[0:df1:df1*(length(m)-1)]-fs/2; % frequency vector
u=(1+a*m_n).*c; % modulated signal
[U,u,df1]=fftseq(u,ts,df); % Fourier transform
env=env_phas(u); % find the envelope
dem1=2*(env-1)/a; % remove dc and rescale
signal_power=power(u(1:length(t))); % power in modulated signal
noise_power=signal_power/100; % noise power
noise_std=sqrt(noise_power); % noise standard deviation
noise=noise_std*randn(1,length(u)); % generate noise
r=u+noise; % add noise to the modulated signal
[R,r,df1]=fftseq(r,ts,df); % Fourier transform
env_r=env_phas(r); % envelope, when noise is present
dem2=2*(env_r-1)/a; % demodulate in the presence of noise
pause % Press any key to see a plot of the message
subplot(2,1,1)
plot(t,m(1:length(t)))
axis([0 0.15 -2.1 2.1])
xlabel('Time')
title('The message signal')
pause % Press any key to see a plot of the modulated signal
subplot(2,1,2)
plot(t,u(1:length(t)))
axis([0 0.15 -2.1 2.1])
xlabel('Time')
title('The modulated signal')
pause % Press a key to see the envelope of the modulated signal
clf
subplot(2,1,1)
plot(t,u(1:length(t)))
axis([0 0.15 -2.1 2.1])
xlabel('Time')
title('The modulated signal')
subplot(2,1,2)
plot(t,env(1:length(t)))
xlabel('Time')
title('Envelope of the modulated signal')
pause % Press a key to compare the message and the demodulated signal
clf
subplot(2,1,1)
plot(t,m(1:length(t)))
axis([0 0.15 -2.1 2.1])
xlabel('Time')
title('The message signal')
subplot(2,1,2)
plot(t,dem1(1:length(t)))
xlabel('Time')
title('The demodulated signal')
pause % Press a key to compare in the presence of noise
clf
subplot(2,1,1)
plot(t,m(1:length(t)))
axis([0 0.15 -2.1 2.1])
xlabel('Time')
title('The message signal')
subplot(2,1,2)
plot(t,dem2(1:length(t)))
xlabel('Time')
title('The demodulated signal in the presence of noise')
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