1. Create the following signals, f1, f2 in time
domain.
t = 0 to 1 second.
f1(t) = 8 sin (2 *pi*80*t);
f2(t) = 4 cos (2*pi*240*t)
Define any assumptions you make to generate the signals.
2. Plot the two graphs as sub plots with appropriate
lables in x axis (time), y
axis, title etc.
3. Generate the following signal
f3 = f1 + f2;
4. Plot as sub plot in (2).
5. Compute the fourier transform of this signal,
cannot use the built-in
MATLAB function. Implement your own FT function. (You will have to
refer to FT theory)
6. Plot the magnitude and phase response. (Again read up the formula to compute this).
`Hey,
Note: Brother if you have any queries related the answer please do comment. I would be very happy to resolve all your queries.
clc
clear all
close all
format long
t=0:0.01:1;
y1=8*sin (2 *pi*80*t);
y2=4*cos (2*pi*240*t);
subplot(3,1,1)
plot(t,y1);
xlabel('Time');
ylabel('f1(t)');
title('Plot of f1(t)');
subplot(3,1,2)
plot(t,y2);
xlabel('Time');
ylabel('f2(t)');
title('Plot of f2(t)');
y3=y1+y2;
subplot(3,1,3)
plot(t,y3);
xlabel('Time');
ylabel('f3(t)');
title('Plot of f3(t)');

Note: Brother According to HomeworkLib's policy we are only allowed to answer first 4 part if there are many. So, I request you to post other part as separate posts
Kindly revert for any queries
Thanks.
1. Create the following signals, f1, f2 in time domain. t = 0 to 1 second....
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Please show all work.
fs=44100; no_pts=8192;
t=([0:no_pts-1]')/fs;
y1=sin(2*pi*1000*t);
figure;
plot(t,y1);
xlabel('t (second)')
ylabel('y(t)')
axis([0,.004,-1.2,1.2]) % constrain axis so you can actually see
the wave
sound(y1,fs); % play sound using windows driver.
%%
% Check the frequency domain signal. fr is the frequency vector and
f1 is the magnitude of F{y1}.
fr=([0:no_pts-1]')/no_pts*fs; %in Hz
fr=fr(1:no_pts/2); % single-sided spectrum
f1=abs(fft(y1)); % compute fft
f1=f1(1:no_pts/2)/fs;
%%
% F is the continuous time Fourier. (See derivation...
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