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8/13/2019 24 2 Properties Fourier Trnsform
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Properties of the
Fourier Transform
24.2Introduction
In this Section we shall learn about some useful properties of the Fourier transform which enableus to calculate easily further transforms of functions and also in applications such as electroniccommunication theory.
Prerequisites
Before starting this Section you should . . .
be aware of the basic definitions of theFourier transform and inverse Fouriertransform
Learning Outcomes
On completion you should be able to . . .
state and use the linearity property and thetime and frequency shift properties of Fouriertransforms
state various other properties of the Fouriertransform
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1. Linearity properties of the Fourier transform(i) Iff(t), g(t) are functions with transforms F(), G() respectively, then
F{f(t) +g(t)} =F() +G()
i.e. if we add 2 functions then the Fourier transform of the resulting function is simply the sum ofthe individual Fourier transforms.
(ii) Ifk is any constant,
F{kf(t)} =kF()
i.e. if we multiply a function by any constant then we must multiply the Fourier transform by thesame constant. These properties follow from the definition of the Fourier transform and from theproperties of integrals.
Examples
1.
F{2etu(t) + 3e2tu(t)} = F{2etu(t)} + F{3e2tu(t)}
= 2F{etu(t)} + 3F{e2tu(t)}
= 2
1 +i+
3
2 +i
2.
If f(t) =
4 3 t 30 otherwise
then f(t) = 4p3(t)
so F() = 4P3() = 8
sin 3
using the standard result for F {pa(t)}.
TaskskIf f(t) =
6 2 t 20 otherwise write down F().
Your solution
Answer
We have f(t) = 6p2(t) so F() =12
sin2.
HELM (2005):Section 24.2: Properties of the Fourier Transform
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2. Shift properties of the Fourier transformThere are two basic shift properties of the Fourier transform:
(i) Time shift property: F{f(t t0)} =eit0F()
(ii) Frequency shift property F{ei0t
f(t)} = F( 0).Here t0, 0 are constants.
In words, shifting (or translating) a function in one domain corresponds to a multiplication by acomplex exponential function in the other domain.
We omit the proofs of these properties which follow from the definition of the Fourier transform.
Example 2
Use the time-shifting property to find the Fourier transform of the function
g(t) =
1 3 t 50 otherwise
t
g(t)
1
3 5
Figure 4
Solution
g(t) is a pulse of width 2 and can be obtained by shifting the symmetrical rectangular pulse
p1(t) =
1 1 t 10 otherwise
by 4 units to the right.
Hence by putting t0= 4 in the time shift theorem
G() = F{g(t)} = e4i2
sin .
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TaskskVerify the result of Example 2 by direct integration.
Your solution
Answer
G() = 53
1eitdt =
eiti
53
= e5i e3i
i =e4
iei ei
i
=e4i2
sin
,
as obtained using the time-shift property.
TaskskUse the frequency shift property to obtain the Fourier transform of themodulated wave
g(t) =f(t)cos 0t
where f(t) is an arbitrary signal whose Fourier transform is F().
First rewrite g(t) in terms of complex exponentials:
Your solution
Answer
g(t) =f(t)
ei0t +ei0t
2
=
1
2f(t)ei0t +
1
2f(t)ei0t
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Now use the linearity property and the frequency shift property on each term to obtain G():
Your solution
AnswerWe have, by linearity:
F{g(t)} =12F{f(t)ei0t} +12 F{f(t)e
i0t}
and by the frequency shift property:
G() =1
2F( 0) +
1
2F(+0).
F()
112
0 0
G()
3.Inversion of the Fourier transformFormal inversion of the Fourier transform, i.e. finding f(t) for a given F(), is sometimes possibleusing the inversion integral (4). However, in elementary cases, we can use a Table of standard Fourier
transforms together, if necessary, with the appropriate properties of the Fourier transform.The following Examples and Tasks involve such inversion.
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Example 3
Find the inverse Fourier transform of F() = 20sin5
5 .
Solution
The appearance of the sine function implies that f(t) is a symmetric rectangular pulse.
We know the standard form F{pa(t)} = 2asin a
a or F1{2a
sin a
a } =pa(t).
Putting a= 5 F1{10sin5
5 } =p5(t). Thus, by the linearity property
f(t) = F1{20sin5
5
} = 2p5(t)
f(t)
2
5 5 t
Figure 4
Example 4
Find the inverse Fourier transform ofG() = 20sin5
5 exp (3i).
Solution
The occurrence of the complex exponential factor in the Fourier transform suggests the time-shift
property with the time shift t0= +3 (i.e. a right shift).From Example 3
F1{20sin5
5 } = 2p5(t) so g(t) = F
1{20sin5
5 e3i} = 2p5(t 3)
2
t
g(t)
2 8
Figure 5
HELM (2005):Section 24.2: Properties of the Fourier Transform
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TaskskFind the inverse Fourier transform of
H() = 6sin2
e4i.
Firstly ignore the exponential factor and find the inverse Fourier transform of the remaining terms:
Your solution
Answer
We use the result: F1{2asin a
a } =pa(t)
Putting a= 2 gives F1{2sin2
} =p2(t) F
1{6sin2
} = 3p2(t)
Now take account of the exponential factor:
Your solution
AnswerUsing the time-shift theorem for t0= 4
h(t) = F1{6sin2
e4i} = 3p2(t 4)
t
h(t)
3
2 6
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Example 5Find the inverse Fourier transform of
K() = 2
1 + 2( 1)i
Solution
The presence of the term ( 1) instead of suggests the frequency shift property.
Hence, we consider first
K() = 2
1 + 2i.
The relevant standard form is
F{etu(t)} = 1
+i or F1{
1
+i} =etu(t).
Hence, writing K() = 112
+ik(t) =e
1
2tu(t).
Then, by the frequency shift property with 0 = 1 k(t) = F1{
2
1 + 2( 1)i} =e
1
2teitu(t).
Here k(t) is a complex time-domain signal.
TaskskFind the inverse Fourier transforms of
(a) L() = 2sin {3( 2)}
( 2) (b) M() =
ei
1 +i
Your solution
HELM (2005):Section 24.2: Properties of the Fourier Transform
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Answer(a) Using the frequency shift property with 0= 2
l(t) = F1{L()} =p3(t)ei2t
(b) Using the time shift property with t0 = 1
m(t) = e(t+1)u(t+ 1)
t
m(t)
1
4. Further properties of the Fourier transform
We state these properties without proof. As usual F() denotes the Fourier transform off(t).
(a) Time differentiation property:
F{f(t)} =iF()
(Differentiating a function is said to amplify the higher frequency components because ofthe additional multiplying factor .)
(b) Frequency differentiation property:
F{tf(t)} =idF
d or F{(it)f(t)} =
dF
d
Note the symmetry between properties (a) and (b).
(c) Duality property:
If F{f(t)} =F() then F{F(t)} = 2f().
Informally, the duality property states that we can, apart from the 2 factor, interchange the timeand frequency domains provided we put rather than in the second term, this corresponding toa reflection in the vertical axis. Iff(t) is even this latter is irrelevant.
For example, we know that if f(t) =p1(t) =
1 1< t
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Graphically:
t
F
P1()
P1(t) 2p1()
2
1 1
F
p1(t)
t 1 1
1
Figure 6
TaskskRecalling the Fourier transform pair
f(t) =
e2t t >0e2t t
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Answer
We have F{f(t)} F {e2|t|} = 4
4 +2. F {
1
4e2|t|} =
1
4 +2 (by linearity)
F{ 1
4 +t2
} = 21
4
e2|| =
2
e2|| =G() (by duality).
t
F
F
t
f(t) F()
g(t) G()
1
14
2
1
(b) Use the modulation property based on the frequency shift property:
Your solution
AnswerWe have h(t) =g(t)cos2t. F {g(t)cos 0t} =
12
(G( 0) +G(+ 0)),
so with 0= 2 F {h(t)} =
4 e2|2| +e2|+2|
=H()
H()
2 2
24 HELM (2005):Workbook 24: Fourier Transforms
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Exercises
1. Using the superposition and time delay theorems and the known result for the transform of therectangular pulse p(t), obtain the Fourier transforms of each of the signals shown.
12 0 1 2
xa(t)(a)
t12 0 1 2
xb (t)(b)
t
12 0 1 2
xc(t)
(c)
t31 2
xd(t)
(d)
t
11
1 1
2 2
1
2. Obtain the Fourier transform of the signal
f(t) =etu(t) +e2tu(t)
where u(t) denotes the unit step function.
3. Use the time-shift property to obtain the Fourier transform of
f(t) =
1 1 t 3
0 otherwise
Verify your result using the definition of the Fourier transform.
4. Find the inverse Fourier transforms of
(a) F() = 20sin(5)
5 e3i
(b) F() = 8
sin 3 ei
(c) F() = ei
1 i
5. Iff(t) is a signal with transform F() obtain the Fourier transform off(t)cos(0t)cos(0t).
HELM (2005):Section 24.2: Properties of the Fourier Transform
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Answer
1. Xa() = 4
sin(
2)cos(
3
2 )
Xb() = 4i sin( 2 ) sin(32 )
Xc() = 2
[sin(2) + sin()]
Xd() = 2
sin(
3
2) + sin(
2
e3i/2
2. F() = 3 + 2i
2 2 + 3i (using the superposition property)
3. F() = 2sin
e2i
4. (a) f(t) =
2 2< t