Solution:
(a) the angular frequency the fundamental frequency
(b)
MATLAB code for continuous signal
%--------- Code starts here -----------%
T=1/100;
t=0:0.001:4*T
x=((1/1000).^t) .* cos(200*pi*t);
plot(t,x,'k')
grid on
title('continuous plot')
xlabel('time'),ylabel('x')
%----------------- END ------------------%
plot:
(c,d)
plot of discrete signal
%--------- Code starts here -----------%
% %-------- solution (c) -----------%
n1=0:1:4;
Ts=1/100;
y1=((1/1000).^(n1*Ts)) .* cos(200*pi*n1*Ts)
subplot(1,2,1)
stem(n1,y1,'*r')
axis([0 8 0 2])
title('Ts=1/100')
xlabel('n1');ylabel('y1')
%------- solution (d) --------%
n2=0:1:16;
Ts=1/400;
y2=((1/1000).^(n2*Ts)) .* cos(200*pi*n2*Ts)
subplot(1,2,2)
stem(n2,y2,'*r')
axis([0 16 0 2])
title('Ts=1/400')
xlabel('n2');ylabel('y2')
%---------------- END ------------------%
plot:
(e) When the signal x(t) is sampled by higher frequency (1/100) the sampled signal has more information stored in it.The sampled signal with lower frequency contains only one sample in it.
THTCos (200Tt) -oo<t< oo. We want to convert = {0,1,2,...} Problem 1. Suppose we have a continuous-time signal r(...
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