082-Engineering-Mathematics-Anthony-Croft-Robert-Davison-Martin-Hargreaves-James-Flint-Edisi-5-2017
768 Chapter 24 The Fourier transformuX(v)uuF(v)u(a)v(b)–v cFigure24.6Amplitude modulation. (a)Spectrum ofthe modulation signal; (b)spectrum oftheamplitude-modulated signal.Taking the Fourier transformand using the first shifttheorem yields{ x(t)(ejω t c +e −jω c t })F{φ(t)} = (ω) = F2{ ejω t } {c x(t) e−jω t }c x(t)= F + F2 2v cv= 1 2 (X(ω−ω c )+X(ω+ω c ))whereX(ω) = F{x(t)}, the frequency spectrum of the modulation signal.Let us consider the case where the frequency spectrum, |X(ω)|, has the profileshown in Figure 24.6(a). The frequency spectrum of the amplitude-modulated signal,|(ω)|, is shown in Figure 24.6(b). All of the frequencies of the amplitudemodulatedsignalaremuchhigherthanthefrequenciesofthemodulationsignalthusallowing a much smaller antenna to be used to transmit the signal. This method ofamplitude modulation is known as suppressed carrier amplitude modulation becausethe carrier signal is modulated to its full depth and so the spectrum of theamplitude-modulated signalhas no identifiable carrier component.EXERCISES24.41 Show thatthe Fourier transformofthe pulse{ t+1 −1<t<0f(t)=1−t 0<t<1can be written asPlotagraph ofthe spectrum of f (t)for−2π ω 2π.Writedown an integral expressionforthe pulse whichwould result ifthe signal f (t)were passed through a filterwhicheliminatesallangularfrequenciesgreaterthan2π.SolutionsF(ω) = 2 ω 2 (1−cosω)1∫1 2π2(1−cosω) ejωt2π −2π ω 2 dω24.5 THEt−ω DUALITYPRINCIPLEWe have, fromthe definition ofthe Fourier integral,f(t)= 1 ∫ ∞F(ω)e jωt dω (24.6)2π−∞
The t−ω duality principle 769f(t)1F(v)2 sint——— t2pf(v)2p–1 1tvt–1 1vFigure24.7Illustrating thet--ω duality principle.Figure24.8Illustrating thet--ω duality principle.whereF(ω) =∫ ∞−∞f (t)e −jωt dt (24.7)is the Fourier transform of f (t). In Equation (24.6), ω is a dummy variable so, for example,Equation (24.6) could be equivalently written asf(t)= 12π∫ ∞−∞F(z)e jzt dz (24.8)Then, from Equation (24.8),replacingt by −ω wefindf(−ω) = 12π∫ ∞−∞F(z)e −jωz dz = 12π∫ ∞−∞F(t)e −jωt dtwhich werecognize as 1 timesthe Fourier transformofF(t).2πWe have the following result:IfF(ω)isthe Fourier transformof f (t)thenf(−ω)is 1 ×(theFourier transform ofF(t))2πwhich isknown as thet--ω duality principle.We have seen inExample 24.2 that if{ 1 |t|1f(t)=0 |t|>1thenF(ω) = 2sinωω.ThisisdepictedinFigure24.7.Fromthedualityprinciplewecanimmediately deduce that{ } 2sintF =2πf(−ω)=2πf(ω)tsince f is an even function (Figure 24.8). Unfortunately it is very difficult to verify thisresult in most cases because while one of the integrals is relatively straightforward toevaluate, the other is usually very difficult. However, we can use the result to derive anumber of new Fourier transforms.Example24.9 GiventhattheFouriertransformofu(t)e −t isthe transform of11+jt .11+jω usethedualityprincipletodeduce
- Page 737 and 738: 22.11 Inversion of z transforms 717
- Page 739 and 740: 22.12 The z transform and differenc
- Page 741 and 742: Review exercises 22 721(e) q[k +3]
- Page 743 and 744: 23.2 Periodic waveforms 72323.2 PER
- Page 745 and 746: 23.2 Periodic waveforms 725f(t)1f(t
- Page 747 and 748: 23.3 Odd and even functions 727f(t)
- Page 749 and 750: 23.3 Odd and even functions 729f(t)
- Page 751 and 752: 23.3 Odd and even functions 731the
- Page 753 and 754: 23.5 Fourier series 733Table23.1Som
- Page 755 and 756: 23.5 Fourier series 735point out th
- Page 757 and 758: 23.5 Fourier series 737but cos(−n
- Page 759 and 760: 23.5 Fourier series 739Example23.16
- Page 761 and 762: 23.5 Fourier series 741y4- 3π -- -
- Page 763 and 764: 23.5 Fourier series 743We conclude
- Page 765 and 766: 23.6 Half-range series 745EXERCISES
- Page 767 and 768: 23.6 Half-range series 747Half-rang
- Page 769 and 770: 23.8 Complex notation 749Engineerin
- Page 771 and 772: 23.9 Frequency response of a linear
- Page 773 and 774: 23.9 Frequency response of a linear
- Page 775 and 776: ̸̸̸Review exercises 23 755The va
- Page 777 and 778: 24 TheFouriertransformContents 24.1
- Page 779 and 780: 24.2 The Fourier transform -- defin
- Page 781 and 782: 24.3 Some properties of the Fourier
- Page 783 and 784: ∫ 2[ ] eSolution (a) F(ω)=3 e
- Page 785 and 786: 24.3 Some properties of the Fourier
- Page 787: 24.4 Spectra 767uF(v)u2-4p -3p -2p
- Page 791 and 792: 24.6 Fourier transforms of some spe
- Page 793 and 794: 24.7 The relationship between the F
- Page 795 and 796: 24.8 Convolution and correlation 77
- Page 797 and 798: and theirproduct isF(ω)G(ω) =1(1+
- Page 799 and 800: 24.8 Convolution and correlation 77
- Page 801 and 802: 24.8 Convolution and correlation 78
- Page 803 and 804: 24.9 The discrete Fourier transform
- Page 805 and 806: 24.9 The discrete Fourier transform
- Page 807 and 808: 24.10 Derivation of the d.f.t. 787T
- Page 809 and 810: (Solution ConsiderF˜ ω + 2π )for
- Page 811 and 812: 24.11 Using the d.f.t.to estimate a
- Page 813 and 814: 24.13 Some properties of the d.f.t.
- Page 815 and 816: 24.14 The discrete cosine transform
- Page 817 and 818: 24.14 The discrete cosine transform
- Page 819 and 820: 24.14 The discrete cosine transform
- Page 821 and 822: 24.15 Discrete convolution and corr
- Page 823 and 824: 24.15 Discrete convolution and corr
- Page 825 and 826: 24.15 Discrete convolution and corr
- Page 827 and 828: 24.15 Discrete convolution and corr
- Page 829 and 830: 24.15 Discrete convolution and corr
- Page 831 and 832: 24.15 Discrete convolution and corr
- Page 833 and 834: 24.15 Discrete convolution and corr
- Page 835 and 836: 24.15 Discrete convolution and corr
- Page 837 and 838: 24.15 Discrete convolution and corr
768 Chapter 24 The Fourier transform
uX(v)u
uF(v)u
(a)
v
(b)
–v c
Figure24.6
Amplitude modulation. (a)Spectrum ofthe modulation signal; (b)spectrum ofthe
amplitude-modulated signal.
Taking the Fourier transformand using the first shifttheorem yields
{ x(t)(e
jω t c +e −jω c t }
)
F{φ(t)} = (ω) = F
2
{ e
jω t } {
c x(t) e
−jω t }
c x(t)
= F + F
2 2
v c
v
= 1 2 (X(ω−ω c )+X(ω+ω c ))
whereX(ω) = F{x(t)}, the frequency spectrum of the modulation signal.
Let us consider the case where the frequency spectrum, |X(ω)|, has the profile
shown in Figure 24.6(a). The frequency spectrum of the amplitude-modulated signal,
|(ω)|, is shown in Figure 24.6(b). All of the frequencies of the amplitudemodulatedsignalaremuchhigherthanthefrequenciesofthemodulationsignalthus
allowing a much smaller antenna to be used to transmit the signal. This method of
amplitude modulation is known as suppressed carrier amplitude modulation because
the carrier signal is modulated to its full depth and so the spectrum of the
amplitude-modulated signalhas no identifiable carrier component.
EXERCISES24.4
1 Show thatthe Fourier transformofthe pulse
{ t+1 −1<t<0
f(t)=
1−t 0<t<1
can be written as
Plotagraph ofthe spectrum of f (t)for
−2π ω 2π.Writedown an integral expression
forthe pulse whichwould result ifthe signal f (t)
were passed through a filterwhicheliminatesall
angularfrequenciesgreaterthan2π.
Solutions
F(ω) = 2 ω 2 (1−cosω)
1
∫
1 2π
2(1−cosω) ejωt
2π −2π ω 2 dω
24.5 THEt−ω DUALITYPRINCIPLE
We have, fromthe definition ofthe Fourier integral,
f(t)= 1 ∫ ∞
F(ω)e jωt dω (24.6)
2π
−∞