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EEE 321
Signals and Systems
Ankara University
Faculty of Engineering
Electrical and Electronics Engineering Department
Fourier Series Representation of
Periodic Signals
EEE321 Signals and Systems
Lecture 8
Ankara University
Electrical and Electronics Engineering Department, EEE321
Signals and Systems
Agenda
• Historical Perspective
• Eigenvalues and Eigenfunctions
• Fourier Series Representation of Continuous-Time Periodic Signals
• Convergence of the Fourier Series
Ankara University
Electrical and Electronics Engineering Department, EEE321
Signals and Systems
Historical Perspective
• Sum of harmonically related sines and cosines to represent periodic
signals
• Euler, 1748
• Bernoulli, 1753
• Lagrange, 1759
• Fourier, 1807
• Dirichlet, 1829
• Fourier, 1822
Ankara University
Electrical and Electronics Engineering Department, EEE321
Signals and Systems
Eigenvalues and Eigenfunctions
• LTI Systems
• 𝑒𝑠𝑡 −−→ 𝐻(𝑠)𝑒𝑠𝑡 : continuous time
• 𝑧𝑛 −−→ 𝐻 𝑧 𝑧𝑛 : discrete time
• 𝐻 𝑠 , 𝐻(𝑧) : eigenvalues
• 𝑒𝑠𝑡, 𝑧𝑛 : eigenfunctions
Ankara University
Electrical and Electronics Engineering Department, EEE321
Signals and Systems
Fourier Series Representation – Continuous
Time
• To represent a periodic signal via linear combination of harmonically
related complex exponentials, 𝑒𝑗𝜔𝑡
• 𝑥 𝑡 = 𝑘=−∞
∞
𝑎𝑘𝑒𝑗𝑘𝜔0𝑡
• 𝑘: integer
• 𝑎𝑘: Fourier series coefficients
Ankara University
Electrical and Electronics Engineering Department, EEE321
Signals and Systems
Fourier Series Coefficients – Continuous Time
• 𝑎𝑘 =
1
𝑇 −
𝑇
2
𝑇
2
𝑥 𝑡 𝑒−𝑗𝑘𝜔0𝑡𝑑𝑡
• 𝑎𝑘:spectral coefficients
• 𝑎0 =
1
𝑇 −
𝑇
2
𝑇
2
𝑥 𝑡 𝑑𝑡 : average value of 𝑥(𝑡)
Ankara University
Electrical and Electronics Engineering Department, EEE321
Signals and Systems
Convergence of the Fourier Series
• Dirichlet conditions
• The periodic signal must be absolutely integrable
• Number of maxima and minima are finite during any single period
• Finite number of discontinuities
Ankara University
Electrical and Electronics Engineering Department, EEE321
Signals and Systems
References
• Signals and Systems, 2nd Edition, Oppenheim, Willsky, Nawab
Ankara University
Electrical and Electronics Engineering Department, EEE321
Signals and Systems

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EEE321_Lecture8.pdf

  • 1. EEE 321 Signals and Systems Ankara University Faculty of Engineering Electrical and Electronics Engineering Department
  • 2. Fourier Series Representation of Periodic Signals EEE321 Signals and Systems Lecture 8 Ankara University Electrical and Electronics Engineering Department, EEE321 Signals and Systems
  • 3. Agenda • Historical Perspective • Eigenvalues and Eigenfunctions • Fourier Series Representation of Continuous-Time Periodic Signals • Convergence of the Fourier Series Ankara University Electrical and Electronics Engineering Department, EEE321 Signals and Systems
  • 4. Historical Perspective • Sum of harmonically related sines and cosines to represent periodic signals • Euler, 1748 • Bernoulli, 1753 • Lagrange, 1759 • Fourier, 1807 • Dirichlet, 1829 • Fourier, 1822 Ankara University Electrical and Electronics Engineering Department, EEE321 Signals and Systems
  • 5. Eigenvalues and Eigenfunctions • LTI Systems • 𝑒𝑠𝑡 −−→ 𝐻(𝑠)𝑒𝑠𝑡 : continuous time • 𝑧𝑛 −−→ 𝐻 𝑧 𝑧𝑛 : discrete time • 𝐻 𝑠 , 𝐻(𝑧) : eigenvalues • 𝑒𝑠𝑡, 𝑧𝑛 : eigenfunctions Ankara University Electrical and Electronics Engineering Department, EEE321 Signals and Systems
  • 6. Fourier Series Representation – Continuous Time • To represent a periodic signal via linear combination of harmonically related complex exponentials, 𝑒𝑗𝜔𝑡 • 𝑥 𝑡 = 𝑘=−∞ ∞ 𝑎𝑘𝑒𝑗𝑘𝜔0𝑡 • 𝑘: integer • 𝑎𝑘: Fourier series coefficients Ankara University Electrical and Electronics Engineering Department, EEE321 Signals and Systems
  • 7. Fourier Series Coefficients – Continuous Time • 𝑎𝑘 = 1 𝑇 − 𝑇 2 𝑇 2 𝑥 𝑡 𝑒−𝑗𝑘𝜔0𝑡𝑑𝑡 • 𝑎𝑘:spectral coefficients • 𝑎0 = 1 𝑇 − 𝑇 2 𝑇 2 𝑥 𝑡 𝑑𝑡 : average value of 𝑥(𝑡) Ankara University Electrical and Electronics Engineering Department, EEE321 Signals and Systems
  • 8. Convergence of the Fourier Series • Dirichlet conditions • The periodic signal must be absolutely integrable • Number of maxima and minima are finite during any single period • Finite number of discontinuities Ankara University Electrical and Electronics Engineering Department, EEE321 Signals and Systems
  • 9. References • Signals and Systems, 2nd Edition, Oppenheim, Willsky, Nawab Ankara University Electrical and Electronics Engineering Department, EEE321 Signals and Systems