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Numerical Methods Fourier Transform Pair Part: Frequency and Time Domain http://numericalmethods.eng.usf. edu

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Numerical Methods Fourier Transform Pair Part: Frequency and Time Domain http://numericalmethods.eng.usf.edu. For more details on this topic Go to http://numericalmethods.eng.usf.edu Click on keyword Click on Fourier Transform Pair. You are free. - PowerPoint PPT Presentation

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Page 1: For more details on this topic  Go to  numericalmethods.engf Click on keyword

Numerical Methods

Fourier Transform Pair Part: Frequency and Time Domain

http://numericalmethods.eng.usf.edu

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For more details on this topic

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Click on keyword Click on Fourier Transform Pair

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You are free to Share – to copy, distribute,

display and perform the work to Remix – to make derivative works

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Under the following conditions Attribution — You must attribute the

work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).

Noncommercial — You may not use this work for commercial purposes.

Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.

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Chapter 11.03: Fourier Transform Pair: Frequency and

Time DomainMajor: All Engineering Majors

Authors: Duc Nguyen

http://numericalmethods.eng.usf.edu

Numerical Methods for STEM undergraduateshttp://numericalmethods.eng.usf.edu 504/22/23

Lecture # 5

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)()()( 1101 tSinbtCosaatf

)2()2()()()( 221102 tSinbtCosatSinbtCosaatf

)2()2()()()( 221104 tSinbtCosatSinbtCosaatf

Example 1

)(2for

0for)(

Tttt

tf

)4()4()3()3( 4433 tSinbtCosatSinbtCosa

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Frequency and Time DomainThe amplitude (vertical axis) of a given periodic function can be plotted versus time (horizontal axis), but it can also be plotted in the frequency domain as shown in Figure 2.

Figure 2 Periodic function (see Example 1 in Chapter 11.02 Continuous Fourier Series) in frequency domain.

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Frequency and Time Domain cont.

Figures 2(a) and 2(b) can be described with the following equations from chapter 11.02,

k

tikwkeCtf 0~)( (39,

repeated)where

Ttikw

k dtetfT

C0

0)(1~ (41, repeated)

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For the periodic function shown in Example 1 of Chapter 11.02 (Figure 1), one has:

122220

Tfw

2

0

1~ dtedtetT

C iktiktk

Frequency and Time Domain cont.

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Frequency and Time Domain cont.

Define:

000

11 dteik

eik

tdtetA iktiktikt

or

22

2

11

11

ke

ke

ki

ek

eik

A

ikik

ikik

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Also,

2

2

ik

edteB iktikt

ikikikik eekiee

ikB

22

Frequency and Time Domain cont.

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Frequency and Time Domain cont.

Thus: BACk

21~

2

22

1121~ ikik

k eki

kki

kkieC

Using the following Euler identities

)cos()sin()cos()sin()cos(

kkikkike ik

)2cos()2sin()2cos(2 kkike ik

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Noting that 1)2cos( k for any integerk

)2(11)(21~

22

kCoski

kkkCosCk

1

Frequency and Time Domain cont.

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Frequency and Time Domain cont.

Also,

,...)8,6,4,2(1,...)7,5,3,1(1

)cos(numberevenkfornumberoddkfor

k

Thus,

ki

kkC

k

k

22

1121~

ikk

C kk

2111

21~

2

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From Equation (36, Ch. 11.02), one has

2~ kkk

ibaC (36, repeated)

Hence; upon comparing the previous 2 equations, one concludes:

1)1(12

k

k ka

k

bk1

Frequency and Time Domain cont.

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Frequency and Time Domain cont.

For

;8...4,3,2,1k the values for ka kband(based on the previous 2 formulas) are exactly

identical as the ones presented earlier in Example1 of Chapter 11.02.

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Frequency and Time Domain cont.

Thus:

iiibaC

211

2

)1(2

2~ 111

ii

ibaC410

2210

2~ 222

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ii

ibaC810

2410

2~ 444

ii

ibaC101

251

251

252

2~ 555

ii

ibaC61

91

231

92

2~ 333

Frequency and Time Domain cont.

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Frequency and Time Domain cont.

ii

ibaC1210

2610

2~ 666

ii

ibaC141

491

271

492

2~ 777

ii

ibaC1610

2810

2~ 888

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In general, one has

numberevenkfori

k

numberoddkforikk

Ck

,..8,6,4,221

,..7,5,3,1211

~ 2

Frequency and Time Domain cont.

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THE ENDhttp://numericalmethods.eng.usf.edu

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This instructional power point brought to you byNumerical Methods for STEM undergraduatehttp://numericalmethods.eng.usf.eduCommitted to bringing numerical methods to the undergraduate

Acknowledgement

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For instructional videos on other topics, go to

http://numericalmethods.eng.usf.edu/videos/

This material is based upon work supported by the National Science Foundation under Grant # 0717624. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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The End - Really

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Numerical Methods

Fourier Transform Pair Part: Complex Number in Polar Coordinates

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For more details on this topic

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Click on keyword Click on Fourier Transform Pair

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You are free to Share – to copy, distribute,

display and perform the work to Remix – to make derivative works

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Under the following conditions Attribution — You must attribute the

work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).

Noncommercial — You may not use this work for commercial purposes.

Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.

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Chapter 11.03: Complex number in polar coordinates

(Contd.)

In Cartesian (Rectangular) Coordinates, a complex number can be expressed as: kC

~

iIRC kkk ~

In Polar Coordinates, a complex number can be expressed as: kC

~

iAAiAAeC ik )sin()cos()sin()cos(~

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Lecture # 6

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Complex number in polar coordinates cont.

Thus, one obtains the following relations between the Cartesian and polar coordinate systems: cosARk sinAI k This is represented graphically in Figure 3.

Figure 3. Graphical representation of the complex number system in polar coordinates.

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Complex number in polar coordinates cont.

Hence

)(sin)(cossincos 222222222 AAAIR kk

AR

AR kk 1cos)cos(

AI

AI kk 1sin)sin(

and

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Based on the above 3 formulas, the complex numberscan be expressed as:

kC~

)13770783.2(1 )59272353.0(

211~ ieiC

Complex number in polar coordinates cont.

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eR

mI

Notes:(a)The amplitude and angle are 0.59 and 2.14 respectively (also see Figures 2a, and 2b in chapter 11.03).

1

~C

(b) The angle (in radian) obtained from

ARCos k)( will be 2.138 radians (=122.48o).

However based on A

ISin k)(

Then = 1.004 radians (=57.52o).

Complex number in polar coordinates cont.

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)57079633.1(22 )25.0()25.0(

410~ i

ieeiC

)77990097.1(3 )17037798.0(

61

91~ ieiC

Since the Real and Imaginary components of are negative and positive, respectively, the proper selectionfor should be 2.1377 radians.

Complex number in polar coordinates cont.

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)57079633.1(24 )125.0()125.0(

810~ i

ieeiC

)69743886.1(5 )100807311.0(

101

251~ ieiC

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Complex number in polar coordinates cont.

)57079633.1(26 )08333333.0()08333333.0(

1210~ i

ieeiC

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)66149251.1(7 )07172336.0(

141

491~ ieiC

28 )0625.0(

1610~ i

eiC

Complex number in polar coordinates cont.

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THE ENDhttp://numericalmethods.eng.usf.edu

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This instructional power point brought to you byNumerical Methods for STEM undergraduatehttp://numericalmethods.eng.usf.eduCommitted to bringing numerical methods to the undergraduate

Acknowledgement

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For instructional videos on other topics, go to

http://numericalmethods.eng.usf.edu/videos/

This material is based upon work supported by the National Science Foundation under Grant # 0717624. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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The End - Really

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Numerical Methods

Fourier Transform Pair Part: Non-Periodic Functions

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Click on keyword Click on Fourier Transform Pair

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You are free to Share – to copy, distribute,

display and perform the work to Remix – to make derivative works

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Under the following conditions Attribution — You must attribute the

work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).

Noncommercial — You may not use this work for commercial purposes.

Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.

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Chapter 11. 03: Non-Periodic Functions (Contd.)

Recall

k

tikwkeCtf 0~)( (39, repeated)

Ttikw

k dtetfT

C0

0)(1~ (41, repeated)

Define

2

2

00 )()(ˆ

T

T

tikw dtetfikwF

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Lecture # 7

(1)

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Then, Equation (41) can be written as)(ˆ1~0ikwF

TCk

And Equation (39) becomes

k

tikweikwFT

tf 00 )(ˆ1)(

From above equation

k

tikw

ffor

Tnp eikwFftftf 000

0

)(ˆ)(lim)(lim)(

k

ftik

fnp efikFftf 2

0)2(ˆ)(lim)(

or

Non-Periodic Functions

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Non-Periodic Functions cont.

Figure 4. Frequency are discretized.

From Figure 4,ffk

ftinp efiFdftf 2)2(ˆ)(

dfefiFtf ftinp 2)2(ˆ)(

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Non-Periodic Functions cont.Multiplying and dividing the right-hand-side of the equation by , one obtains2

; inverse Fourier transform

)()(ˆ21)( 0

00 wdeiwFtf tiw

np

Also, using the definition stated in Equation (1), one gets

)()()(ˆ 00 tdetfiwF tiw

np ; Fourier transform

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THE ENDhttp://numericalmethods.eng.usf.edu

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This instructional power point brought to you byNumerical Methods for STEM undergraduatehttp://numericalmethods.eng.usf.eduCommitted to bringing numerical methods to the undergraduate

Acknowledgement

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For instructional videos on other topics, go to

http://numericalmethods.eng.usf.edu/videos/

This material is based upon work supported by the National Science Foundation under Grant # 0717624. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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The End - Really