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11. FOURIER ANALYSIS CIRCUITS by Ulaby & Maharbiz.

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Presentation on theme: "11. FOURIER ANALYSIS CIRCUITS by Ulaby & Maharbiz."— Presentation transcript:

1 11. FOURIER ANALYSIS CIRCUITS by Ulaby & Maharbiz

2 Overview

3 Analysis Techniques single-sided: defined over [0,∞] double-sided: defined over [ − ∞,∞]

4 1. Periodic Excitation: Solution Method: Fourier series + Phasor Analysis 2. Nonperiodic Excitation: Solution Method: Fourier Transform Fourier Analysis

5 Fourier Series Analysis Technique (details later) Example Cont.

6 Fourier Series Analysis Technique (cont.) Cont.

7 Fourier Series Analysis Technique (cont.)

8 Fourier Series: Cosine/Sine Representation The Fourier theorem states that a periodic function f(t) of period T can be cast in the form

9 Example Fourier series:

10 Example 11-1: Sawtooth Waveform

11 Fourier Series: Amplitude/Phase Representation

12 Example 11-2: Line Spectra (cont.)

13 Symmetry Considerations dc

14 Even & Odd Symmetry

15

16 This oscillatory behavior of the Fourier series in the neighborhood of discontinuous points is called the Gibbs phenomenon. Example 11-3: M-Waveform

17 Circuit Applications

18 Cont.

19 Example 11-5: RC Circuit cont. Cont.

20 Example 11-5: RC Circuit cont. Cont.

21 Average Power

22 Fourier Series: Exponential Representation

23

24 Fourier Transform Fourier Series Analysis Technique Fourier Transform Analysis Technique

25 Example 11-8: Pulse Train Note that:

26 Line Spectrum of Pulse Train Spacing between adjacent harmonics is : spectrum becomes continuous

27 Derivation Of Fourier Transform Fourier Transform Pair

28 Example 11-9: Rectangular Pulse The wider the pulse, the narrower is its spectrum, and vice versa

29

30

31 Circuit Analysis with Fourier Transform vs(t) = 10 + 5 cos 4t Example 11-11 Cont.

32 Circuit Analysis with Fourier Transform Applying Inverse Fourier Transform:

33 The Importance of Phase Information

34 Summary


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