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=Approximating Periodic Signals with Finite Fourier Series=
 
=Approximating Periodic Signals with Finite Fourier Series=
  
In this project, a matlab function will be used to show how a finite number of Fourier Series coefficients can approximate a periodic signal.
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[[bonus_project.docx]]
 
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When there are only 1 non-zero term, the time and frequency domain are shown below:
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[[Image:code.png]]
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When 2 non-zero terms
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When 5 non-zeros terms
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When there are 25 non-zero terms
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Conclusion: From the above diagrams we are able to distinguish that: As the number of Fourier Series Coefficients increases, the output of approximated periodic signal is more accurate.
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A circuit is built to measure the Fourier series  of a Square wave
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For example, we set s(t) to be square wave with A = 3V, T0 = 0.5*10^-6s
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The frequency domain of output shown in spectrum analyzer will be:
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The time domain of output shown in oscilloscope will be:
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Revision as of 15:13, 21 April 2018


Approximating Periodic Signals with Finite Fourier Series

bonus_project.docx



Back to 2018 Spring ECE 301 Boutin

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood