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Signal Representation by Fourier Series FS

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If executes one cycle during any interval of T seconds, then ... can be determined by using the classic method (see blackboard, or p. 223-224, textbook) ... – PowerPoint PPT presentation

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Title: Signal Representation by Fourier Series FS


1
  • Chapter 3
  • Signal Representation by Fourier Series (FS)
  • 3-1 Trigonometric Fourier Series (TFS)
  • 3-1-1 Basic Form
  • A signal f(t) can be expressed by FS over an
    interval
  • In the following, the subscript 0 may be
    ignored

2
  • Coefficients can be determined by using the
    classic method (see blackboard, or p. 223-224,
    textbook)
  • Geometrical explanation
  • If executes one cycle during any
    interval of T seconds, then
  • executes (nm) cycles in T
    seconds (recall the scaling concept)
  • Analytical explanation

3
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5
  • For the same reason, we have

6
  • Using the above results, we obtain

7
  • 3-1-2 Compact TFS
  • The sine and cosine terms can be combined into a
    single term
  • The compact form is

8
  • We have shown that an arbitrary f(t) may be
    expressed as a TFS over any interval of T seconds
  • Example 3.3 (pp. 191 - 192)
  • The found FT is equal to over the
    interval only
  • What happens to the FT outside this interval?

9
  • 3-1-3 Periodicity of the TFS
  • Recall
  • Let

10
  • 3-1-4 TFS of Periodic Signals
  • How about if f(t) itself is periodic with T?
  • The FT of f(t) over T will also represent f(t)
    for all t

11
  • 3-1-5 Fourier Spectra of Periodic Signals
  • Amplitude spectrum
  • Phase spectrum
  • These two plots together are the frequency
    spectra of f(t)
  • This is called the frequency domain identity of
    signals

12
  • 3-1-6 FT Convergence at Jump Points
  • If there is a jump point in f(t), then the
    FT of f(t) converges to an average, namely
  • 3-1-7 Existence of FT
  • Weak Dirichlet condition f(t) is absolutely
    integrable, i.e.
  • Strong Dirichlet condition f(t) a finite number
    of
  • finite discontinuities and
  • maxima and minima

13
  • Example 3.4 (pp. 195 - 196)
  • 3-1-8 Effect of Symmetry
  • Recall for periodic signal
  • How about if f(t) is even?
  • How about if f(t) is odd?

14
  • A periodic signal f(t) has a half-wave symmetry
    (H. S.) if
  • If f(t) has an H.S., then
  • All the even-numbered terms of its FT will
    vanish
  • There are simplified formulas for the
    coefficients (see Problem 3.4-7)
  • Some relations
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