Fourier Transform - Solving for Impulse Response

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SUMMARY

The discussion focuses on solving for the impulse response h(t) given the excitation signal x(t) and output signal y(t) using Fourier Transform techniques. The user correctly identifies the relationship y(t) = h(t) * x(t) and applies the convolution theorem, stating Y(f) = H(f)X(f). The Fourier Transform of the elements in y(t) is calculated, including the transforms of unit step functions and exponential decay terms, which are essential for deriving H(f).

PREREQUISITES
  • Understanding of Fourier Transform principles
  • Knowledge of convolution and its properties
  • Familiarity with unit step functions and their transforms
  • Basic skills in manipulating mathematical expressions involving complex numbers
NEXT STEPS
  • Learn the properties of the Fourier Transform, particularly the convolution theorem
  • Study the Fourier Transform of common signals, including unit step and exponential functions
  • Explore the application of inverse Fourier Transform to retrieve time-domain signals
  • Practice solving impulse response problems using MATLAB or Python libraries like NumPy
USEFUL FOR

Students in electrical engineering, signal processing professionals, and anyone studying system responses in time-domain analysis.

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Homework Statement


I'm trying to Solve for an impulse response h(t) Given the excitation signal x(t) and the output signal y(t)

x(t) = 4rect(t/2)
y(t) = 10[(1-e-(t+1))u(t+1) - (1-e-(t-1))u(t-1)]
h(t) = ?

y(t) = h(t)*x(t) --> '*' meaning convolution!

I am unsure how to take the Fourier Transform of the elements in the output signal. I have posted my attempts below and I would like to know if I am going this correctly or not, Thanks!

Homework Equations


Using the multiplication - convolution duality I know that we need to take the Fourier transform of each element giving us the following...

Y(f) = H(f)X(f)

Which then allows us to solve for H(f) by Y(f)/X(f)

The Attempt at a Solution



First I distributed the unit step functions in y(t) giving...

y(t) = 10[u(t+1)-e-(t+1)u(t+1) - u(t-1) + e-(t-1)u(t-1)

Now I take the Fourier transform of each element in y(t)

F(u(t+1)) = 1/(jω+(02))(ej2∏f)

F(e-(t+1)u(t+1)) = 1/(jω+(12))(e-j2∏f)

I got this by using the following definition of the Fourier Transform
e-Atu(t) <---> 1/(jω+A2) for A > 0I was curious as to if anyone could give me some insight on whether I am performing these operations correctly or not. I apologize if I left out any information!
 
Last edited:
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Find the Fourier transforms of x(t) and y(t),then use the convolution theorem and inverse transform.
 
Ok, but my question was more about whether I am performing the transform correctly , thank you for your response
 

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