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082-Engineering-Mathematics-Anthony-Croft-Robert-Davison-Martin-Hargreaves-James-Flint-Edisi-5-2017

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758 Chapter 24 The Fourier transform

WeshallnowseehowFouriertechniquescanstillbeusefulbyintroducingtheFourier

transformwhichisusedextensivelyincommunicationsengineeringandsignalprocessing.Forexample,itcanbeusedtoanalysetheprocessesof

modulation,whichinvolves

superimposinganaudiosignalontoacarriersignal,anddemodulation,whichinvolves

removing the carrier signaltoleave the audio signal.

24.2 THEFOURIERTRANSFORM--DEFINITIONS

f(t)

1

0

a

Figure24.1

Anon-periodic

function.

b

t

Under certain conditions it can be shown that a non-periodic function, f (t), can be

expressed notasthe sum ofsineand cosinewaves but asanintegral. Inparticular,

where

f(t)=

Provided

∫ ∞

0

A(ω) = 1 π

A(ω)cosωt +B(ω)sinωtdω (24.1)

∫ ∞

−∞

f(t)cosωtdt and B(ω) = 1 π

∫ ∞

(1) f(t)andf ′ (t) are piecewise continuous inevery finiteinterval, and

(2) ∫ ∞

|f (t)|dt exists

−∞

−∞

f (t)sinωtdt (24.2)

then the above Fourier integral representation of f (t) holds. At a point of discontinuity

of f (t) the integral representation converges to the average value of the right- and lefthand

limits. As with Fourier series, an equivalent complex representation exists which

is, infact, more commonly used:

Fourier integral representationof f (t):

where

f(t)= 1

F(ω) =

∫ ∞

∫ ∞

−∞

−∞

F(ω)e jωt dω (24.3)

f (t)e −jωt dt (24.4)

Thereisnouniversalconventionconcerningthedefinitionoftheseintegralsandanumber

of variants are still correct. For instance, some authors write the factor in the

1

1

second integral rather than the first, while others place a factor √ in both, giving

some symmetry to the equations. There is also variation in the location of the factors

e −jωt ande jωt .Weshallusedefinitions(24.3)and(24.4)throughoutbutitisimportantto

be aware of possible differences when consulting other texts.

Equations (24.3) and (24.4) form what is called a Fourier transform pair. The

Fourier transform of f (t) is F(ω) which is sometimes written F{f (t)}. Similarly

f (t) in Equation (24.3) is the inverse Fourier transform of F(ω), usually denoted

F −1 {F(ω)}.

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