1. Run this m-file. %program for signal convolution t=0:0.1:10; x1=sin (2*pi*t); h1=cos (2*pi*t); y1=conv (x1,h1); figure; subplot(3,1,1); plot(x1); xlabel('t'); ylabel('x(t)'); title('input signal') subplot(3,1,2); plot (h1); xlabel('t'); ylabel('h(t)'); title('impulse response') subplot(3,1,3); plot (yl); xlabel ('n'); ylabel('y(n)'); title('linear convolution'); input signal wwww 20 40 60 80 100 120 impulse response 20 40 60 80 100 120 linear convolution 50 50 100 150 200 250 2. Based on above matlab code, do a convolution for x(t) = e=2tu(t) and h(t) = (2e-3t – e-2t)u(t).

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1. Run this m-file.
%program for signal convolution
t=0:0.1:10;
x1=sin (2*pi*t);
h1=cos (2*pi*t);
yl=conv (x1,h1);
figure;
subplot (3,1,1);
plot (x1);
xlabel ('t');
ylabel ('x(t)');
title ('input signal')
subplot (3,1,2);
plot (h1);
xlabel('t');
ylabel ('h (t)');
title('impulse response')
subplot (3,1,3);
plot (y1);
xlabel('n');
ylabel ('y(n)');
title ('linear convolution');
input signal
www
20
40
60
80
100
120
t
impulse response
www
wwwwwm
1
0.
20
40
60
80
100
120
t
linear convolution
50
-50
50
100
150
200
250
Based on above matlab code, do a convolution for x(t) = e-2tu(t) and h(t) =
(2е-3t — е-2)и(t).
2.
Transcribed Image Text:1. Run this m-file. %program for signal convolution t=0:0.1:10; x1=sin (2*pi*t); h1=cos (2*pi*t); yl=conv (x1,h1); figure; subplot (3,1,1); plot (x1); xlabel ('t'); ylabel ('x(t)'); title ('input signal') subplot (3,1,2); plot (h1); xlabel('t'); ylabel ('h (t)'); title('impulse response') subplot (3,1,3); plot (y1); xlabel('n'); ylabel ('y(n)'); title ('linear convolution'); input signal www 20 40 60 80 100 120 t impulse response www wwwwwm 1 0. 20 40 60 80 100 120 t linear convolution 50 -50 50 100 150 200 250 Based on above matlab code, do a convolution for x(t) = e-2tu(t) and h(t) = (2е-3t — е-2)и(t). 2.
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ISBN:
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Course Technology Ptr