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Week 12 [SS] Fourier Transform

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RIPHAH INTERNATIONAL
UNIVERSITY
Signals And Systems
Engr. M.S. Orakzai
Review of the Fourier Series
Review of Fourier Series
• Deal with continuous-time periodic signals.
A Periodic Signal
f(t)
t
T
2T
3T
Two Forms for Fourier Series
Sinusoidal
Form
∞
π‘₯ 𝑑 = π‘Ž0 + ෍ π‘Žπ‘› cos π‘›πœ”0 𝑑 + 𝑏𝑛 s𝑖𝑛 π‘›πœ”0 𝑑
𝑛=1
2 T /2
a0 = 
f (t )dt
−
T
/
2
T
Complex
Form:
∞
π‘₯ 𝑑 = ෍ 𝐢𝑛 𝑒
𝑛=−∞
π‘—π‘›πœ”0 𝑑
2 T /2
an = 
f (t ) cos n0tdt
−
T
/
2
T
2 T /2
bn = 
f (t ) sin n0tdt
−
T
/
2
T
1
cn =
T

T /2
−T / 2
f (t )e − jn0t dt
How to deal with Aperiodic
Signals?
How to Deal with Aperiodic Signal?
A Periodic Signal
f(t)
t
T
If T→ο‚₯, what happens?
• The Fourier series expansion reveals the frequency content of the
periodic signal.
• It is also possible to analyze the frequency content of nonperiodic
signals. The tool that enables us to do this is the Fourier transform
• The transform assumes that a nonperiodic (or aperiodic) signal is a
periodic signal with an infinite period
Continuous-Time Fourier Transform
Fourier Integral derivation
2
0 =
T
Let
1 0
=
T 2
2
 = 0 =
T
T → ο‚₯ οƒž d =  ο‚» 0
Fourier Transform Pair
Fourier Transform:
∞
𝑋 πœ” = ΰΆ± π‘₯(𝑑)𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
−∞
Inverse Fourier Transform:
1 ∞
ΰΆ± 𝑋(πœ”)𝑒 π‘—πœ”π‘‘ π‘‘πœ”
π‘₯ 𝑑 =
2πœ‹ −∞
π‘₯ 𝑑 is time domain signal
𝑋 πœ” is frequency domain signal
Fourier Transform and Inverse Fourier transform are used convert between time and
frequency domain
Note: some books write 𝑋 πœ” as 𝑋 π‘—πœ” , its just a notation, don’t be confused
Example-1: FT of Exponential Signal
• Find the Fourier transform of
π‘₯ 𝑑 = 𝑒 −π‘Žπ‘‘ 𝑒 𝑑
π‘Ž>0
Solution
∞
𝑋 πœ” = ΰΆ± π‘₯(𝑑)𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
−∞
∞
1
− π‘Ž+π‘—πœ” 𝑑
𝑋 πœ” =−
.𝑒
α‰š
π‘Ž + π‘—πœ”
0
∞
𝑋 πœ” = ΰΆ± 𝑒 −π‘Žπ‘‘ 𝑒 𝑑 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
𝑋 πœ” =−
−∞
1
. 𝑒 −∞ − 𝑒 0
π‘Ž + π‘—πœ”
∞
𝑋 πœ” = ΰΆ± 𝑒 −π‘Žπ‘‘ . 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
𝑋 πœ” =
0
1
π‘Ž + π‘—πœ”
∞
𝑋 πœ” = ΰΆ± 𝑒−
0
π‘Ž+π‘—πœ” 𝑑 𝑑𝑑
𝑒 −π‘Žπ‘‘ 𝑒 𝑑
𝐹𝑇
1
π‘Ž + π‘—πœ”
Example-2: FT of Rectangular Pulse
• Find the Fourier transform of
1 −𝑇 ≤ 𝑑 ≤ 𝑇
π‘₯ 𝑑 =α‰Š
0
𝑑 >𝑇
Solution
∞
𝑋 πœ” =ΰΆ±
π‘₯(𝑑)𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
−∞
𝑇
𝑋 πœ” = ΰΆ± 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
−𝑇
1 −π‘—πœ”π‘‘ 𝑇
𝑋 πœ” = − .𝑒
α‰š
π‘—πœ”
−𝑇
𝑋 πœ” =−
1 −π‘—πœ”π‘‡
𝑒
− 𝑒 π‘—πœ”π‘‡
π‘—πœ”
2 𝑒 π‘—πœ”π‘‡ − 𝑒 −π‘—πœ”π‘‡
𝑋 πœ” =
πœ”
2𝑗
2
𝑋 πœ” = sin(πœ”π‘‡)
πœ”
𝑋 πœ” = 2𝑇.
sin πœ”π‘‡
πœ”π‘‡
𝑋 πœ” = 2𝑇. sin𝑐 πœ”π‘‡
Example-2: Cont…
π‘Ÿπ‘’π‘π‘‘
𝑑
2𝑇
π‘Ÿπ‘’π‘π‘‘
𝑑
𝑇
𝐹𝑇
2𝑇𝑠𝑖𝑛𝑐(πœ”π‘‡)
or
𝐹𝑇
𝑇𝑠𝑖𝑛𝑐(πœ” 𝑇/2)
Example-2: Cont…
𝑑
π‘Ÿπ‘’π‘π‘‘
𝑇
𝐹𝑇
𝑇𝑠𝑖𝑛𝑐(πœ” 𝑇/2)
X a ()
2
−2
π‘Ÿπ‘’π‘π‘‘
𝑑
2
𝐹𝑇
2 𝑠𝑖𝑛𝑐(πœ”)
−


2
Example-2: Cont…
𝑑
π‘Ÿπ‘’π‘π‘‘
𝑇
𝑋 πœ” = 4𝑠𝑖𝑛𝑐 2πœ”
𝐹𝑇
𝑇𝑠𝑖𝑛𝑐(πœ” 𝑇/2)
Example-3: IFT of Rectangular Pulse
• Find the Inverse FT of rectangular
spectrum
1 −π‘Š ≤ πœ” ≤ π‘Š
𝑋(πœ”) = α‰Š
0
πœ” >π‘Š
Solution:
1 ∞
π‘₯ 𝑑 =
ΰΆ± 𝑋(π‘—πœ”)𝑒 π‘—πœ”π‘‘ π‘‘πœ”
2πœ‹ −∞
1 𝑒 π‘—π‘Šπ‘‘ − 𝑒 −π‘—π‘Šπ‘‘
=
πœ‹π‘‘
2𝑗
1 π‘Š π‘—πœ”π‘‘
π‘₯ 𝑑 =
ΰΆ± 𝑒 π‘‘πœ”
2πœ‹ −π‘Š
1
=
sin(π‘Šπ‘‘)
πœ‹π‘‘
π‘Š
1
π‘—πœ”π‘‘
=
.𝑒 α‰š
2π‘—πœ‹π‘‘
−π‘Š
1
=
𝑒 π‘—π‘Šπ‘‘ − 𝑒 −π‘—π‘Šπ‘‘
2π‘—πœ‹π‘‘
π‘Š sin π‘Šπ‘‘
=
.
πœ‹
π‘Šπ‘‘
=
π‘Š
𝑠𝑖𝑛𝑐(π‘Šπ‘‘)
πœ‹
Example-3: cont…
Example-4: FT of Impulse
Unit Impulse
π‘₯ 𝑑 = 𝛿(𝑑)
Solution:
∞
𝑋 πœ” = ΰΆ± 𝛿(𝑑) 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
−∞
∞
𝑋 πœ” = ΰΆ± 1. 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
−∞
𝑋 πœ” = 𝑒 −π‘—πœ”π‘‘ α‰š
𝛿(𝑑)
𝐹𝑇
𝑑=0
1
Example-5: IFT of Impulse
• Find the Inverse FT of 𝑋 πœ” = 2πœ‹π›Ώ(πœ”)
1 ∞
π‘₯ 𝑑 =
ΰΆ± 𝑋(π‘—πœ”)𝑒 π‘—πœ”π‘‘ π‘‘πœ”
2πœ‹ −∞
1 ∞
π‘₯ 𝑑 =
ΰΆ± 2πœ‹π›Ώ(πœ”)𝑒 π‘—πœ”π‘‘ π‘‘πœ”
2πœ‹ −∞
π‘₯ 𝑑 =1
1
𝐹𝑇
2πœ‹π›Ώ(πœ”)
Example-6: FT of 𝑒 π‘—πœ”0𝑑
• Find the Fourier Transform of π‘₯ 𝑑 = 𝑒 π‘—πœ”0 𝑑
Solution:
We know that
1
𝐹𝑇
2πœ‹π›Ώ(πœ”)
∞
ΰΆ± 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑 = 2πœ‹π›Ώ(πœ”)
−∞
∞
β„± 𝑒 π‘—πœ”0 𝑑 = ΰΆ± 𝑒 π‘—πœ”0 𝑑 . 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
∞
−∞
= ΰΆ± 𝑒 −𝑗(πœ”−πœ”0 )𝑑 𝑑𝑑
−∞
= 2πœ‹π›Ώ πœ” − πœ”0
Example-6: FT of 𝑒 π‘—πœ”0𝑑
• Find the Fourier Transform of π‘₯ 𝑑 = 𝑒 π‘—πœ”0 𝑑
Solution:
We know that
𝛿(𝑑)
𝛿 𝑑 =
∞
𝐹𝑇
β„± −1
1
1
1 ∞
𝛿 𝑑 =
ΰΆ± 1. 𝑒 π‘—πœ”π‘‘ π‘‘πœ”
2πœ‹ −∞
β„± 𝑒 π‘—πœ”0 𝑑 = ΰΆ± 𝑒 π‘—πœ”0 𝑑 . 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
∞
−∞
= ΰΆ± 𝑒 𝑗(πœ”0 −πœ”)𝑑 𝑑𝑑
−∞
= 2πœ‹π›Ώ πœ”0 − πœ”
or
∞
ΰΆ± 𝑒 π‘—πœ”π‘‘ π‘‘πœ” = 2πœ‹π›Ώ 𝑑
−∞
Since the impulse function is an even
function, 𝛿 πœ”0 − πœ” = 𝛿(πœ” − πœ”0 ),
Interchanging variables t and ω results in
∞
ΰΆ± 𝑒 π‘—πœ”π‘‘ 𝑑𝑑 = 2πœ‹π›Ώ πœ”
−∞
β„± 𝑒 π‘—πœ”0 𝑑 = 2πœ‹π›Ώ πœ” − πœ”0
Example-7: FT of 𝑒 −π‘—πœ”0𝑑
• Find the Fourier Transform of π‘₯ 𝑑 = 𝑒 −π‘—πœ”0 𝑑
Solution:
∞
β„± 𝑒 π‘—πœ”0 𝑑 = ΰΆ± 𝑒 −π‘—πœ”0 𝑑 . 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
−∞
∞
= ΰΆ± 𝑒 −𝑗(πœ”+πœ”0 )𝑑 𝑑𝑑
−∞
= 2πœ‹π›Ώ πœ” + πœ”0
Example-8: FT of cos signals
• Find the Fourier Transform of π‘₯ 𝑑 = π‘π‘œπ‘  πœ”0 𝑑
Solution:
∞
𝑋 πœ” = ΰΆ± cos πœ”0 𝑑 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
−∞
∞
𝑋 πœ” =ΰΆ±
−∞
𝑒 π‘—πœ”0𝑑 + 𝑒 −π‘—πœ”0 𝑑 −π‘—πœ”π‘‘
.𝑒
𝑑𝑑
2
1 ∞ −𝑗(πœ”−πœ” )𝑑
1 ∞ −𝑗(πœ”+πœ” )𝑑
0 𝑑𝑑 +
0 𝑑𝑑
= ΰΆ± 𝑒
ΰΆ± 𝑒
2 −∞
2 −∞
=
1
2πœ‹π›Ώ πœ” − πœ”0
2
+
1
2πœ‹π›Ώ πœ” + πœ”0
2
= πœ‹π›Ώ πœ” − πœ”0 + πœ‹π›Ώ(πœ” + πœ”0 )
Example-9: FT of sin signal
• Find the Fourier Transform of π‘₯ 𝑑 = 𝑠𝑖𝑛 πœ”0 𝑑
Solution:
∞
𝑋 πœ” = ΰΆ± 𝑠𝑖𝑛 πœ”0 𝑑 𝑒 −π‘—πœ”π‘‘ 𝑑𝑑
−∞
∞
𝑋 πœ” =ΰΆ±
−∞
𝑒 π‘—πœ”0𝑑 − 𝑒 −π‘—πœ”0𝑑 −π‘—πœ”π‘‘
.𝑒
𝑑𝑑
2𝑗
1 ∞ −𝑗(πœ”−πœ” )𝑑
1 ∞ −𝑗(πœ”+πœ” )𝑑
0 𝑑𝑑 +
0 𝑑𝑑
= ΰΆ± 𝑒
ΰΆ± 𝑒
2𝑗 −∞
2𝑗 −∞
=
1
2πœ‹π›Ώ πœ” − πœ”0
2𝑗
+
1
2πœ‹π›Ώ πœ” + πœ”0
2𝑗
= −π‘—πœ‹π›Ώ πœ” − πœ”0 + π‘—πœ‹π›Ώ(πœ” + πœ”0 )
= π‘—πœ‹ 𝛿 πœ” + πœ”0 + 𝛿(πœ” − πœ”0 )
Example-10: Find the FT of given Signal
Obtain the Fourier transform of the signal shown in Figure
Solution:
Example-11: Find the FT of given Signal
Solution:
Practice Problem-1
• Find the Fourier Transform of
Practice Problem-2
Practice Problem-3
• Find the Fourier Transform of
π‘₯ 𝑑 = 𝑒 π‘Žπ‘‘ 𝑒 −𝑑
Answer:
𝑋 π‘—πœ” =
1
π‘Ž−π‘—πœ”
Practice Problem-4
• Find the Fourier Transform of
Exam Question
• Determine the Fourier Transform of the following Signal
π‘₯(𝑑)
−4
−1
0
1
4
Table of Fourier Transform
Fourier Transform Pairs
Fourier Transform Pairs
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