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Practical 2 Use matlab to compute the convolution $y(t) = x(t) * h(t)$ for the signals: Input: $x(t) = t^3 [u(t+4) - u(t-4)]$ Output: $h(t) = e^{-2t}cos(3t)u(t)$ Provide the Matlab code: < Insert your function program here. > Use the subplot function in Matlab to display $x(t)$ and $h(t)$ and the convolution result $h(t)$. < Paste matlab script here. > < Insert MATLAB figure here. > [5]

          Practical 2
Use matlab to compute the convolution $y(t) = x(t) * h(t)$ for the signals:
Input:
$x(t) = t^3 [u(t+4) - u(t-4)]$
Output:
$h(t) = e^{-2t}cos(3t)u(t)$
Provide the Matlab code:
< Insert your function program here. >
Use the subplot function in Matlab to display $x(t)$ and $h(t)$ and the convolution result $h(t)$.
< Paste matlab script here. > < Insert MATLAB figure here. >
[5]

Practical 2
Use matlab to compute the convolution y(t) = x(t) * h(t) for the signals:
Input:
x(t) = t^3 [u(t+4) - u(t-4)]
Output:
h(t) = e^-2tcos(3t)u(t)
Provide the Matlab code:
< Insert your function program here. >
Use the subplot function in Matlab to display x(t) and h(t) and the convolution result h(t).
< Paste matlab script here. > < Insert MATLAB figure here. >
[5]

Added by Montserrat H.

University Physics with Modern Physics

Hugh D. Young 14th Edition

Instant Answer

Solved by Expert Mukesh Devi

Step 1

We can do this using anonymous functions. ```matlab % Define the input signal x(t) x = @(t) t.*(heaviside(t+4) - heaviside(t-4)); % Define the impulse response h(t) h = @(t) exp(-2*t).*cos(3*t).*heaviside(t); ``` Show more…

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Practical 2 Use MATLAB to compute the convolution y(t) = x(t) * h(t) for the signals. Input: x(t) = t[u(t+4) - u(t-4)] Output: h(t) = e^(-2t)cos(3tu(t)) Provide the MATLAB code: <Insert your function program here.> Use the subplot function in MATLAB to display x(t), h(t), and the convolution result h(t). <Paste MATLAB script here.> <Insert MATLAB figure here.>