Finding harmonic components with basic arithmetic

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SUMMARY

This discussion focuses on finding harmonic components using Fourier analysis and trigonometric identities. The participants emphasize the importance of the Fourier series representation and the discrete Fourier transform (DFT) for approximating harmonics from a sampled signal over a limited time frame of 250ms. Key insights include the necessity of integrating from t=0 to t=0.25 seconds and the strategy of minimizing the number of sampled sinusoids by adjusting the N-point DFT. The relevance of the fundamental frequency's amplitude in relation to other harmonics is also highlighted as a critical factor in the analysis.

PREREQUISITES
  • Understanding of Fourier analysis principles
  • Familiarity with trigonometric identities
  • Knowledge of discrete Fourier transform (DFT)
  • Basic signal sampling techniques
NEXT STEPS
  • Study the calculation methods of the Fourier transform
  • Learn about N-point DFT and its applications
  • Research the significance of harmonic amplitudes in signal processing
  • Explore advanced techniques for minimizing sampled sinusoids
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Students and professionals in signal processing, electrical engineering, and anyone involved in analyzing harmonic components in signals using Fourier analysis.

Forcefedglas
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Homework Statement



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Homework Equations


I'm guessing trigonometric identities such as sin(a)cos(b) = 1/2(sin(a+b)+sin(a-b)) might be relevant.

The Attempt at a Solution


I've been thinking of some way to get an approximation of each harmonic by working with the Fourier series representation (approximated since it's only sampled for 250ms) of the signal and taking advantage of trigonometric identities but that's about as far as I've gotten, and am having trouble figuring out how I should proceed. Am I in the correct line of thinking so far?

Thanks in advance.
 

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I think you could use the principle of Fourier analysis.
If you think of how the Fourier transform is calculated and the hint they gave in sentence 3 of the first paragraph, that should give you a method.

You won't be able to integrate from -∞ to +∞, but from t=o to t= 0.25 should give a decent result at 300Hz
 
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Merlin3189 said:
I think you could use the principle of Fourier analysis.
If you think of how the Fourier transform is calculated and the hint they gave in sentence 3 of the first paragraph, that should give you a method.

You won't be able to integrate from -∞ to +∞, but from t=o to t= 0.25 should give a decent result at 300Hz

Thanks, it all makes a lot more sense now. One of the goals was also to minimize the set of sampled sinusoids - I'm guessing I take a N-point DFT and keep reducing N until it's barely within specifications.

EDIT: One more thing though, what's the relevance of point 2 (You may rely on the fundamental frequency component having a larger amplitude than other harmonics)?
 
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