Complex representation of fourier series

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SUMMARY

The discussion focuses on the complex representation of Fourier series, specifically the calculation of Fourier coefficients for a given periodic function. The user successfully derives the formula for the coefficients, Cn, using the integral approach but encounters issues with the spectral lines and the relationship between the trigonometric and exponential Fourier series representations. The user notes discrepancies in amplitude between the two representations, indicating a potential misunderstanding in the conversion process. The conversation highlights the importance of correctly applying the Fourier series formulas and understanding the implications of amplitude scaling.

PREREQUISITES
  • Understanding of Fourier series and their applications in signal processing.
  • Proficiency in complex numbers and exponential functions.
  • Familiarity with MATLAB for computational verification of Fourier series.
  • Knowledge of integral calculus, particularly in evaluating definite integrals.
NEXT STEPS
  • Study the derivation of Fourier coefficients in detail, focusing on the integral formula Cn = 1/T ∫ f(t)e^(-j*n*omega*t) dt.
  • Learn about the relationship between trigonometric and complex Fourier series, including amplitude scaling factors.
  • Explore MATLAB functions for Fourier analysis to validate results and visualize spectra.
  • Research common pitfalls in Fourier series calculations, particularly in amplitude discrepancies between representations.
USEFUL FOR

Students and professionals in electrical engineering, signal processing, and applied mathematics who are working with Fourier series and seeking to deepen their understanding of complex representations and their applications.

tronxo
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Homework Statement


Using the complex representation of Fourier series, find the Fourier coefficients of the periodic function shown below. Hence, sketch the magnitude and phase spectra for the first five terms of the series, indicating clearly the spectral lines and their magnitudes


Homework Equations


Firstable, I don't know how indicate the spectral lines.
The other problem that i have is when i try to calculate the Cn coefficient and, therefore, the final serie. I don't know if it is right or not, and in case of it is right, I am not able to rewrite "my final function" into the correct answer, which i have it in one of my books.


The Attempt at a Solution



what i have done is:
Cn= 1/T∫(from 0 to T) f(t)*e^(-j*n*omega*t) dt
Cn=1/T ( ∫(from 0 to d) Vm*e^(-j*n*omega*t) dt + ∫(from d to T) 0 *e^(-j*n*omega*t) dt )
The second part of the integral is equal to 0, therefore:
Cn=1/T ∫(from 0 to d) Vm*e^(-j*n*omega*t) dt where omega= (2*pi/T)
Cn=1/T ∫(from 0 to d) Vm*e^(-j*n*(2*pi/T)*t) dt
Cn= Vm/T ∫(from 0 to d) e^(-j*n*(2*pi/T)*t) dt
Cn= Vm/(-j*n*(2*pi/T)*T) (limits of the resulting integral from 0 to d)[e^(-j*n*(2*pi/T)*t)]
Cn= Vm/ (-j*n*2*pi) [e^(-j*n*(2*pi/T)*d) - 1]
what is next?
 

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bump...
i am having a similar problem...
i am given a signal which can be written as:
s(t) = -1 {-1 < t < 0}, 1 {0 < t < 1}, 0 {1 < t < 2} [it's a pulse train]
the period, T, is 3.
i have calculated the trig. Fourier series representation, which in MATLAB turns out to be correct, yet when i calculate the exponentical fsr, i get a version of the trig. fsr which has its amplitude halved.

for the trig fsr:

s(t) = 2/(pi * n) * (1 - cos((2 * pi * n)/3)) * sin((2 * pi * n * t)/3);


for the exp fsr:

s(t) = -1/(i * pi * n) * (cos((2 * pi * n)/3) - 1) * exp((i * 2 * pi * n * t)/3)


i also tried

c_n = 0.5 (a_n - i * b_n) = -0.5 * i * ( 2/(pi * n) * (1 - cos((2 * pi * n)/3))



either case, my complex fsr was a scaled amplitude version of my trig fsr




any guidance would be much appreciated
 

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