Analytically solve for the response y[t] of the system h[t]=2e‐10t for a pulse input x[t] of width 1, 10 or 100 msec with its amplitude such that its width times its amplitude is equal to .1
a.) For each pulse, solve assuming it is an ideal impulse (i.e. use convolution integral)
b.) solve not making this assumption (i.e. use convolution integral).
c. ) Plot your results Matlab and also calculate the response using the conv command in Matlab.
Script:
clc;close all;clear all;
%solution without the assumption
%For pulse width 1msec
T=0.001;TT=5*T;
t=0:TT/500:TT;
h=5*(exp(-20*t));
x=0.1.*T*(t>=0);
y=conv(x,h);
m=0:TT/500:2*TT;
subplot(221)
plot(m,y);grid;xlabel('t');ylabel('y(t)')
title('Pulse width T=1ms')
%For pulse width 10msec
T=0.01;TT=5*T;
t=0:TT/500:TT;
h=5*(exp(-20*t));
x=0.1.*T*(t>=0);
y=conv(x,h);
m=0:TT/500:2*TT;
subplot(222)
plot(m,y);grid;xlabel('t');ylabel('y(t)')
title('Pulse width T=10ms')
%For pulse width 100msec
T=0.1;TT=5*T;
t=0:TT/500:TT;
h=5*(exp(-20*t));
x=0.1.*T*(t>=0);
y=conv(x,h);
m=0:TT/500:2*TT;
subplot(223)
plot(m,y);grid;xlabel('t');ylabel('y(t)')
title('Pulse width T=100ms')
Plot:

Script
clc;close all;clear all;
%solution with the assumption as impulse input
%For 1msec
T=0.001;TT=5*T;
t=0:TT/500:TT;
h=5*(exp(-20*t));
x=0.1.*T*(t==T);
y=conv(x,h);
m=0:TT/500:2*TT;
subplot(221)
plot(m,y);grid;xlabel('t');ylabel('y(t)')
title('T=1ms')
%For10msec
T=0.01;TT=5*T;
t=0:TT/500:TT;
h=5*(exp(-20*t));
x=0.1.*T*(t==T);
y=conv(x,h);
m=0:TT/500:2*TT;
subplot(222)
plot(m,y);grid;xlabel('t');ylabel('y(t)')
title('T=10ms')
%For100msec
T=0.1;TT=5*T;
t=0:TT/500:TT;
h=5*(exp(-20*t));
x=0.1.*T*(t==T);
y=conv(x,h);
m=0:TT/500:2*TT;
subplot(223)
plot(m,y);grid;xlabel('t');ylabel('y(t)')
title('T=100ms')
Plot:

Analytically solve for the response y[t] of the system h[t]=2e‐10t for a pulse input x[t] of...
(1) For the impulse response (h(t)) and input signal (x(t)) of an LTI system shown below, find and plot the output response (y(t)) by integrating the convolution analytically h(t) x(t) t (s)
CONVOLUTION - Questions 4 and 5 4. Consider an LTI system with an impulse response h(n) = [1 2 1] for 0 <n<2. If the input to the system is x(n) = u(n)-un-2) where u(n) is the unit-step, calculate the output of the system y(n) analytically. Check your answer using the "conv" function in MATLAB. 5. Consider an LTI system with an impulse response h(n) = u(n) where u(n) is the unit-step. (a) If the input to the system is...
A system has an input, x(t) and an impulse response, h(t). Using
the convolution integral,
find and plot the system output, y(t), for the combination given
below.
x(t) is P3.2(e) and h(t) is P3.2(f).
1/2 cycle of 2 cos at -2. (e)
4. A linear time invariant system has the following impulse response: h(t) =2e-at u(t) Use convolution to find the response y(t) to the following input: x(t) = u(t)-u(t-4) Sketch y(t) for the case when a = 1
Problem 4. Use the convolution integral to find the response y(t) of the LTI system with impulse response h(t) to input x(t) a) x(I)-2expl_2t)u(t) , h(1)-expl-t)u(t)
1. Evaluate and sketch the convolution integral (the output y(t)) for a system with input x(t) and impulse response h(t), where x(t) = u(1-2) and h(t)= "u(t) u(t) is the unit step function. Please show clearly all the necessary steps of convolution. Determine the values of the output y(t) at 1 = 0,1 = 3,1 = 00. (3 pts)
4. Convolution EX4. The input X(t) and impulse response h(t) for a system are given. Using convolution evaluating the system output y(t). X(t)=1 O<t1 h(t)=sin pi*t 0<<2 =0 else where =0 elsewhere Xit) ↑ hlt) E mer
Consider a continuous-time LTI system S with impulse response h(t) = 2(u(t + 1)-u(t 1)). Determine the values of the amplitude scaling and the tme shifting that takes place when each of the following input signals is provided to the system S. Don't use the convolution integral, instead use the result about how LTI systems respond to complex exponential signals. (a) x(t) 2 (b) x(t) ej0.5Tt (c) x(t) = e-j0.5πt (d) x(t) = e-jmt (e) x(t) = cos (0.5t) (f)...
Problem 4. Convolve the following input X(t) with the system impulse response h(t) and plot the system output y(t). h(t) Problem 5. Construct a Bode plot of the input impedance DMM 100nF zin - 300F CM 500 ohms
Problem 4: Evaluation of the convolution integral too y(t) = (f * h)(t) = f(t)h(t – 7)dt is greatly simplified when either the input f(t) or impulse response h(t) is the sum of weighted impulse functions. This fact will be used later in the semester when we study the operation of communication systems using Fourier analysis methods. a) Use the convolution integral to prove that f(t) *8(t – T) = f(t – T) and 8(t – T) *h(t) = h(t...