15. Fourier analysis techniques

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Presentation transcript:

15. Fourier analysis techniques EMLAB

Learning goals Fourier series : General periodic signal. Fourier transform : Arbitrary non-periodic inputs. EMLAB

15.1 Fourier series Periodic function : Example : EMLAB

Example of quality of approximation Approximation with 4 terms Original Periodic Signal Approximation with 2 terms Approximation with 100 terms EMLAB

Exponential Fourier series Any “physically realizable” periodic signal, with period To, can be represented by the expression How to determine Cn: t1 can be set arbitrarily. Only the integration span is important because f(t) is periodic. EMLAB

Example 15.1 Determine the exponential Fourier series EMLAB

Trigonometric Fourier series EMLAB

Functions with even symmetry Functions with odd symmetry EMLAB

Time shifting It is easier to study the effect of time-shift with the exponential series expansion Time shifting the function only changes the phase of the coefficients Example 15.6 EMLAB

Frequency spectrum The spectrum is a graphical display of the coefficients of the Fourier series. The one-sided spectrum is based on the representation The amplitude spectrum displays Dn as the function of the frequency. The phase spectrum displays the angle θn as function of the frequency. The frequency axis is usually drawn in units of fundamental frequency The two-sided spectrum is based on the exponential representation In the two-sided case, the amplitude spectrum plots |cn| while the phase spectrum plots cn versus frequency (in units of fundamental frequency) Both spectra display equivalent information EMLAB

Example 15.7 The Fourier series expansion, when A=5, is given by Determine and plot the first four terms of the spectrum Amplitude spectrum Phase spectrum EMLAB

Steady state network response 1. Replace the periodic signal by its Fourier series 2. Determine the steady state response to each harmonic 3. Add the steady state harmonic responses EMLAB

Example 15.8 EMLAB

Example 15.8 Find the out voltage vo(t). (1) First the input voltage source should be represented by a Fourier series. EMLAB

(2) Find the transfer function of the circuit. (3) Solution EMLAB

Average power In a network with periodic sources (of the same period) the steady state voltage across any element and the current through are all of the form The average power is the sum of the average powers for each harmonic EMLAB

Example 15.9 EMLAB

Fourier transform A heuristic view of the Fourier transform A non-periodic function can be viewed as the limit of a periodic function when the period approaches infinity EMLAB

Fourier series vs. Fourier transform Extend the period T to infinity Fourier transform of f (t) EMLAB

Example 15.10 Determine the Fourier transform For comparison we show the spectrum of a related periodic function EMLAB

Example 15.11 Determine the Fourier transform of the unit impulse function LEARNING EXTENSION Determine EMLAB

Fourier transform of δ(ω) As T increases to infinity, sinc function becomes similar to delta function. EMLAB

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Inverse Fourier transform Residue theorem EMLAB

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Proof of the convolution property Exchanging orders of integration Change integration variable And limits of integration remain the same EMLAB

A Systems application of the convolution property The output (response) of a network can be computed using the Fourier transform LEARNING EXTENSION From the table of transforms (And all initial conditions are zero) Use partial fraction expansion! EMLAB

Parseval’s theorem Think of f(t) as a voltage applied to a one Ohm resistor By definition, the left hand side is the energy of the signal Parseval’s theorem permits the determination of the energy of a signal in a given frequency range Intuitively, if the Fourier transform has a large magnitude over a frequency range then the signal has significant energy over that range EMLAB

Example 15.13 Find the output voltage vo(t) when EMLAB

Example 15.14 Examine the effect of this low-pass filter in the quality of the input signal One can use Bode plots to visualize the effect of the filter High frequencies in the input signal are attenuated in the output The effect is clearly visible in the time domain EMLAB

The output signal is slower and with less energy than the input signal EMLAB

Effect of ideal filters Effect of band-pass filter Effect of low-pass filter Effect of band-stop filter Effect of high-pass filter EMLAB

Example 15.15 AM BROADCASTING Audio signals do not propagate well in atmosphere – they get attenuated very quickly Original Solution: Move the audio signals to a different frequency range for broadcasting. The frequency range 540kHz – 1700kHz is reserved for AM modulated broadcasting AM receivers pick a faint copy of v(t) Carrier signals Broadcasted signal Audio signal Nothing in audio range! EMLAB

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Audio signal has been AM modulated to the radio frequency range EMLAB

Example 15.17 “Tuning-out” an AM radio station Fourier transform of signal broadcast by two AM stations Proposed tuning circuit Ideal filter to tune out one AM station Fourier transform of received signal Next we show how to design the tuning circuit by selecting suitable R,L,C EMLAB

Fourier transform of received signal Ideal filter to tune out one AM station Designing the tuning circuit Design equations Frequency response of circuit tuned to 960kHz Design specifications More unknowns than equations. Make some choices EMLAB