Fourier transform of tent signal

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SUMMARY

The discussion centers on applying Parseval's Equation to find the energy of the signal z(t) = 4/(4+t²). The user encounters difficulties using the Continuous-Time Fourier Transform (CTFT) and the duality property of the tent signal, which is not included in their formula sheet. A suggested solution involves using partial fraction decomposition to simplify the analysis of z(t) before applying the Fourier transform.

PREREQUISITES
  • Understanding of Parseval's Equation
  • Familiarity with Continuous-Time Fourier Transform (CTFT)
  • Knowledge of the tent signal and its properties
  • Basic skills in integration techniques, particularly integration by parts
NEXT STEPS
  • Study the application of Parseval's Equation in signal analysis
  • Learn about the properties of the Continuous-Time Fourier Transform (CTFT)
  • Research partial fraction decomposition techniques for simplifying functions
  • Explore the duality property in Fourier analysis
USEFUL FOR

Students and professionals in signal processing, electrical engineering, and applied mathematics who are working with Fourier transforms and energy calculations of signals.

Neutronium
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Hello, I'm having an issue with a given problem.

Homework Statement



Using Parseval's Equation find the energy of the signal z(t)=\frac{4}{4+t^{2}}


Homework Equations



The book solves that problem by using the tent signal CTFT and duality property (i.e ). However that properly isn't in the formula sheet, and the book derives it inversely!

The Attempt at a Solution



I tried to develop it by plugging z(t) into the CTFT analysis equation, but it becomes a serious mess with integration by parts.

So what should I do? Take the tent property as it is and apply it to the question?

Thank you.
 
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Neutronium said:
Hello, I'm having an issue with a given problem.

Homework Statement



Using Parseval's Equation find the energy of the signal z(t)=\frac{4}{4+t^{2}}

Homework Equations



The book solves that problem by using the tent signal CTFT and duality property (i.e ). However that properly isn't in the formula sheet, and the book derives it inversely!

The Attempt at a Solution



I tried to develop it by plugging z(t) into the CTFT analysis equation, but it becomes a serious mess with integration by parts.

So what should I do? Take the tent property as it is and apply it to the question?

Thank you.

I would suggest you try doing a partial fraction decomposition on z(t). That should simplify things a little (also keep in mind the time shifting property of the convolution). I believe this works, but I haven't done a Fourier transform in a few years...

EDIT: And welcome to PhysicsForums!
 

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