I'm confused by what the professor means on this Fourier Series proble

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SUMMARY

The discussion centers on the application of the Fast Fourier Transform (FFT) algorithm to reconstruct a function using 31 equally spaced sample points within the domain [1, 4]. The user seeks clarification on the significance of the normalization factor 1/31 and the constant 'c' in the context of Fourier series. Additionally, the conversation transitions to using MATLAB's odeset function to adjust absolute and relative tolerances for numerical solutions. The user successfully resolves the initial confusion regarding FFT but encounters a new challenge with MATLAB.

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  • Understanding of Fast Fourier Transform (FFT) and its application in signal processing.
  • Familiarity with Fourier series and their coefficients.
  • Basic knowledge of MATLAB programming, particularly functions like odeset.
  • Concept of numerical tolerance in computational methods.
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  • Research the normalization process in Fourier transforms and its implications on coefficients.
  • Learn how to implement FFT in MATLAB for signal reconstruction.
  • Explore MATLAB's odeset function for setting numerical tolerances in ODE solvers.
  • Investigate best practices for sampling points in numerical analysis to improve accuracy.
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Students and professionals in mathematics, engineering, and computer science who are working with Fourier transforms and numerical methods in MATLAB.

Jamin2112
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Homework Statement



See the second bullet point on this page: http://facweb.northseattle.edu/rjenne/e240w13flr/hwflr/feb21/e240w13hwfeb21.pdf

Homework Equations



So I know that fft(x) for a bunch of sample points x={x1, x2, ..., xn} returns the n Fourier coefficients for a function fitted through those sample points.

The Attempt at a Solution



So I'm a little confused about what the 1/31 and the c mean in the context of this problem. What I'm trying to do, ultimately, is use the Fast Fourier Transform algorithm on 31 equally spaced sample points on the domain [1, 4] to reconstruct the function on 3001 equally spaced sample points on the same domain.

Thoughts?
 
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Jamin2112 said:
So I know that fft(x) for a bunch of sample points x={x1, x2, ..., xn} returns the n Fourier coefficients for a function fitted through those sample points.

[...]

So I'm a little confused about what the 1/31 and the c mean in the context of this problem.

How is the Fourier transform normalized? And can you see any link between what I put in bold there?
 
DrClaude said:
How is the Fourier transform normalized? And can you see any link between what I put in bold there?

Now I've figured out that problem, but I'm confused on a different problem where I have to use the MATLAB function odeset to change absolute and relative tolerance. Do you know how to do that?
 

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