leo lam © 2010-2012 signals and systems ee235 lecture 23

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Leo Lam © 2010-2012 Signals and Systems EE235 Lecture 23

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  • Slide 1
  • Leo Lam 2010-2012 Signals and Systems EE235 Lecture 23
  • Slide 2
  • Leo Lam 2010-2012 Todays menu Fourier Series Example Fourier Transform
  • Slide 3
  • Leo Lam 2010-2012 Motivation
  • Slide 4
  • Fourier Series: Quick exercise Leo Lam 2010-2012 4 Given: Find its exponential Fourier Series: (Find the coefficients d n and 0 )
  • Slide 5
  • Fourier Series: Fun examples Leo Lam 2010-2012 5 Rectified sinusoids Find its exponential Fourier Series: t 0 f(t) =|sin(t)| Expand as exp., combine, integrate
  • Slide 6
  • Fourier Series: Circuit Application Leo Lam 2010-2012 6 Rectified sinusoids Now we know: Circuit is an LTI system: Find y(t) Remember: +-+- sin(t) full wave rectifier y(t) f(t) Where did this come from? S Find H(s)!
  • Slide 7
  • Fourier Series: Circuit Application Leo Lam 2010-2012 7 Finding H(s) for the LTI system: e st is an eigenfunction, so Therefore: So: Shows how much an exponential gets amplified at different frequency s
  • Slide 8
  • Fourier Series: Circuit Application Leo Lam 2010-2012 8 Rectified sinusoids Now we know: LTI system: Transfer function: To frequency: +-+- sin(t) full wave rectifier y(t) f(t)
  • Slide 9
  • Fourier Series: Circuit Application Leo Lam 2010-2012 9 Rectified sinusoids Now we know: LTI system: Transfer function: System response: +-+- sin(t) full wave rectifier y(t) f(t)
  • Slide 10
  • Leo Lam 2010-2012 Summary Fourier Series circuit example
  • Slide 11
  • Fourier Series: Dirichlet Conditon Leo Lam 2010-2012 11 Condition for periodic signal f(t) to exist has exponential series: Weak Dirichlet: Strong Dirichlet (converging series): f(t) must have finite maxima, minima, and discontinuities in a period All physical periodic signals converge
  • Slide 12
  • End of Fourier Series Leo Lam 2010-2012 12 We have accomplished: Introduced signal orthogonality Fourier Series derivation Approx. periodic signals: Fourier Series Properties Next: Fourier Transform
  • Slide 13
  • Fourier Transform: Introduction Leo Lam 2010-2012 13 Fourier Series: Periodic Signal Fourier Transform: extends to all signals Recall time-scaling:
  • Slide 14
  • Fourier Transform: Leo Lam 2010-2012 14 Recall time-scaling: 0 Fourier Spectra for T, Fourier Spectra for 2T,
  • Slide 15
  • Fourier Transform: Leo Lam 2010-2012 15 Non-periodic signal: infinite period T 0 Fourier Spectra for T, Fourier Spectra for 2T,
  • Slide 16
  • Fourier Transform: Leo Lam 2010-2012 16 Fourier Formulas: For any arbitrary practical signal And its coefficients (Fourier Transform): F( ) is complex Rigorous math derivation in Ch. 4 (not required reading, but recommended) Time domain to Frequency domain
  • Slide 17
  • Fourier Transform: Leo Lam 2010-2012 17 Fourier Formulas compared: Fourier transform coefficients: Fourier transform (arbitrary signals) Fourier series (Periodic signals): Fourier series coefficients: and
  • Slide 18
  • Fourier Transform (example): Leo Lam 2010-2012 18 Find the Fourier Transform of What does it look like? If a