Discrete Fourier series derivation

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SUMMARY

The discussion focuses on the derivation of the Discrete Fourier Series (DFS) starting from the equation x(n) = x(n*Ts) = x(t)*delta(t-nTs). Participants seek a clear proof or derivation demonstrating how finite terms can be achieved in the context of discrete time Fourier series. The conversation emphasizes the importance of numerical integration techniques, specifically the rectangle method, in understanding the summation involved in DFS.

PREREQUISITES
  • Understanding of Discrete Time Signals
  • Familiarity with Delta Functions
  • Knowledge of Numerical Integration Techniques
  • Basic Concepts of Fourier Analysis
NEXT STEPS
  • Study the derivation of the Discrete Fourier Series in detail
  • Explore numerical integration methods, focusing on the rectangle method
  • Learn about the properties of delta functions in signal processing
  • Investigate the applications of Fourier analysis in discrete systems
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Students and professionals in signal processing, electrical engineering, and applied mathematics who are looking to deepen their understanding of the Discrete Fourier Series and its derivation.

kidsasd987
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Hello,
fourier_table41.png
*please refer to the table above.

I started from x(n)=x(n*Ts)=x(t)*delta(t-nTs),

how can we have finite terms for discrete time F.S

can anyone provide me a derivation or proof for Discrete F.S.?
 
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Think about how you would numerically integrate with the rectangle method. What would the sum look like?
 

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