Definition of Inverse Fourier Transform Р ¥ ¥- = w Fourier Transform Table UBC M267 The rectangular pulse and the normalized sinc function 11 Dual of
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Definition of Inverse Fourier Transform Р ¥ ¥- = w Fourier Transform Table UBC M267 The rectangular pulse and the normalized sinc function 11 Dual of
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Signals & Systems - Reference Tables
1Table of Fourier Transform Pairs
Function, f(t)Fourier Transform, F(")
ÂJZ""
deFtf tj )(21)(Definition of Fourier Transform
ÂJJ
ZdtetfF
tj"")()( 0 ttfJ 0 tj eF J tj et f0 0 ""JF )(tf~ )(1 ~F)(tF)(2"Jf nn dttfd)( )()(""Fj n )()(tfjt n J nn dFd ÂJ tdf'')( 1tj e 0 )(2 0 (t)sgn "j 2Fourier Transform Table
UBC M267 Resources for 2005
F(t) bF(!)Notes(0)
f(t) Z 1 -1 f(t)e -i!t dtDenition.(1) 1 2Z 1 -1 bf(!)e i!t d! bf(!)Inversion formula.
(2)bf(-t)2f(!)Duality property.(3)
e -at u(t) 1 a+i! aconstant,0;ifjtj>12sinc(!)=2sin(!)
Boxcar in time.(6)
1 sinc(t) (!)Boxcar in frequency. (7)f 0 (t)i!bf(!)Derivative in time.(8) f 00 (t)(i!) 2 bf(!)Higher derivatives similar.(9)
tf(t)id d!bf(!)Derivative in frequency.(10)
t 2 f(t)i 2 d 2 d! 2 bf(!)Higher derivatives similar.(11)
e i! 0 t f(t) bf(!-! 0 )Modulation property.(12) ft-t 0 k ke -i!t0bf(k!)
Time shift and squeeze.(13)
(fg)(t) bf(!)bg(!)Convolution in time.(14)
u(t)=0;ift<01;ift>0
1 i!+(!)Heaviside step function.(15)
(t-t 0 )f(t)e -i!t 0 f(t 0 )Assumesfcontinuous att 0 .(16) e i! 0 t 2(!-! 0 )Useful for sin(! 0 t), cos(! 0 t).(17)Convolution:(fg)(t)=Z
1 -1 f(t-u)g(u)du=Z 1 -1 f(u)g(t-u)du.Parseval:
Z 1 -1 jf(t)j 2 dt=1 2Z 1 -1bf(!) 2 d!.Signals & Systems - Reference Tables
2 tj 1 )sgn(" )(tu 1)( HJÂZntjn
n eF 0JÂZ
J nn nF)(2 0 trect )2(" 'Sa )2(2BtSaB )(Brect" )(ttri )2( 2 "Sa )2()2cos(trecttA
22)2()cos(" J A )cos( 0 t"xz)()( 00 )sin( 0 t" xz)()( 00 j )cos()( 0 ttu" xz 22
000 )()(2 JHHHJ j )sin()( 0 ttu" xz 22
02 00 )()(2 JHHJJ j )cos()( 0 tetu t ~J 22
0 )()("~""~jjHHH
Signals & Systems - Reference Tables
3 )sin()( 0 tetu t ~J 2200 jHH t e ~J 22
2 H )2/( 22
t e J2/ 22
2 J e t etu ~J "~jH 1 t tetu ~J 2 )(1"~jH
õ Trigonometric Fourier Series
EF Z HHZ 1000)sin()cos()( nnn ntbntaatf"" where ZZZ T nT T n dtnttfTbdtnttfTadttfTa 000 000 )sin()(2 and, )cos()(2 , )(1
õ Complex Exponential Fourier Series
JÂJÂZ
ZZ T ntj n nntj n dtetfTFeFtf 0 0 )(1 where, )(Signals & Systems - Reference Tables
4Some Useful Mathematical Relationships
2)cos(
jxjx eex J HZ jeex jxjx2)sin(
J JZ )sin()sin()cos()cos()cos(yxyxyxŠZÎ )sin()cos()cos()sin()sin(yxyxyxÎZÎ )(sin)(cos)2cos( 22xxxJZ )cos()sin(2)2sin(xxxZ )2cos(1)(cos2 2 xxHZ )2cos(1)(sin2 2 xxJZ
1)(sin)(cos
22ZHxx )cos()cos()cos()cos(2yxyxyxHHJZ )cos()cos()sin()sin(2yxyxyxHJJZ )sin()sin()cos()sin(2yxyxyxHHJZ
Signals & Systems - Reference Tables
5Useful Integrals
dxx)cos( )sin(x dxx)sin( )cos(xJ dxxx)cos( )sin()cos(xxxH dxxx)sin( )cos()sin(xxxJ dxxx)cos( 2 )sin()2()cos(2 2 xxxxJH dxxx)sin( 2 )cos()2()sin(2 2 xxxxJJ dxe x~ ae x~ dxxe x~ėĘĖćĈĆJ2
1 a axe x~ dxex x~2 JJ 32222
aax axe x~ Hxdx~ x~Hln1 H 222
xdx~ )(tan1 1 x J