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Chapter 4 Fourier Series & Transforms

Chapter 4 Fourier Series & Transforms. Basic Idea notes

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Page 1: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Chapter 4

Fourier Series & Transforms

Page 2: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Basic Idea

notes

Page 3: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Taylor Series• Complex signals are often broken into simple pieces • Signal requirements

– Can be expressed into simpler problems – The first few terms can approximate the signal

• Example: The Taylor series of a real or complex function ƒ(x) is the power series

• http://upload.wikimedia.org/wikipedia/commons/6/62/Exp_series.gif

Page 4: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Square Wave

S(t)=sin(2ft)

S(t)=1/3[sin(2f)t)]

S(t)= 4/{sin(2ft) +1/3[sin(2f)t)]}

oddK k

kftAts

/1

)2sin(4)(

Fourier Expansion

Page 5: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Square Wave

oddK k

kftAts

/1

)2sin(4)(

Frequency Components of Square Wave

K=1,3,5 K=1,3,5, 7

K=1,3,5, 7, 9, ….. Fourier Expansion

Page 6: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Periodic Signals• A Periodic signal/function can be

approximated by a sum (possibly infinite) sinusoidal signals.

• Consider a periodic signal with period T

• A periodic signal can be Real or Complex

• The fundamental frequency: o• Example:

oo

tj

o

T

AetxComplex

ttxal

txnTtxPeriodic

o

/2

)(

)cos()(Re

)()(

Page 7: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Fourier Series• We can represent all periodic signals

as harmonic series of the form– Ck are the Fourier Series Coefficients; k is

real – k=0 gives the DC signal – k=+/-1 indicates the fundamental frequency

or the first harmonic 0

– |k|>=2 harmonics

Page 8: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Fourier Series Coefficients• Fourier Series Pair

• We have

• For k=0, we can obtain the DC value which is the average value of x(t) over one period

k

oo

jkk

tjkk

tjkk

kk

eCC

eCeC

CC

&*

*

Series of complex numbers

Defined over a period of x(t)

Page 9: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Euler’s Relationship– Review  Euler formulas

notes

Page 10: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Examples

• Find Fourier Series Coefficients for

• Find Fourier Series Coefficients for

• Find Fourier Series Coefficients for

• Find Fourier Series Coefficients for

)cos()( ttx o

)sin()( ttx o

)4/2cos()( ttx

notes

C1=1/2; C-1=1/2; No DC

C1=1/2j; C-1=-1/2j; No DC

)(sin)( 2 ttx o

Page 11: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Different Forms of Fourier Series

• Fourier Series Representation has three different forms

Also: Harmonic

Also: Complex

Exp.

oddK k

kftAts

/1

)2sin(4)(

Which one is this?What is the DC component?What is the expression for Fourier Series Coefficients

Page 12: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Examples

• Find Fourier Series Coefficients for

• Find Fourier Series Coefficients for

Remember:

Page 13: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Examples

Find the Complex Exponential Fourier Series Coefficients

ttttx oo

oo 3sin4)302cos(5cos310)(

notes

textbook

Page 14: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Example• Find the average power of x(t)

using Complex Exponential Fourier Series – assuming x(t) is periodic

dttxPoT 2

)(

2

**

**

2

)()(

)(

)(

)(

kk

kk

k

T

tkj

kk

tkj

kk

T

C

CCdttxtxP

eCtx

eCtx

dttxP

o

o

o

o

This is called the Parseval’s Identity

Page 15: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Example

• Consider the following periodic square wave

• Express x(t) as a piecewise function

• Find the Exponential Fourier Series of representations of x(t)

• Find the Combined Trigonometric Fourier Series of representations of x(t)

• Plot Ck as a function of k

V To/2

-V

To

notes

X(t)

)sin(4

)90cos(4

2)(

/1

/1

2/

/

tkk

V

tkk

V

eek

Vtx

ooddk

ooddk

tkjj

oddk

o

2|Ck| |4V/|

|4V/5|

|4V/3|

0 0 0

Use aLow Pass Filter to pick any tone you want!!

Page 16: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Practical Application

• Using a XTL oscillator which produces positive 1Vp-p how can you generate a sinusoidal waveforms with different frequencies?

Page 17: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Practical Application

• Using a XTL oscillator which produces positive 1Vp-p how can you generate a sinusoidal waveforms with different frequencies?

)sin()( tkBty o

Square Signal@ wo

Filter @ [ko]Level ShifterSinusoidal waveform

1 To/2

To

X(t)

0.5To/2

To

X(t)

-0.5

@ [kwo]

kwo

)sin(4

2)(

/1

2/

/

tkk

V

eek

Vtx

ooddk

tkjj

oddk

o

B changes depending on k value

Page 18: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Demo

Ck corresponds to frequency componentsIn the signal.

Page 19: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Example

• Given the following periodic square wave, find the Fourier Series representations and plot Ck as a function of k.

Sinc Function

Only a functionof freq.

1

Note: sinc (infinity) 1 & Max value of sinc(x)1/x

Note: First zero occurs at Sinc (+/-pi)

Page 20: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Use the Fourier Series Table (Table 4.3)

• Consider the following periodic square wave

• Find the Exponential Fourier Series of representations of x(t)

• X0V

)sin(4

)90cos(4

2)(

/1

/1

2/

/

tkk

V

tkk

V

eek

Vtx

ooddk

ooddk

tkjj

oddk

o

V To/2

-V

To

X(t)

2|Ck| |4V/|

|4V/5|

|4V/3|

0 0 0

tkj

oddk

oek

Vjtx

/

20)(

Page 21: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Fourier Series - Applet

tkj

oddk

oek

Vjtx

/

20)(

http://www.falstad.com/fourier/

Page 22: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Using Fourier Series Table

• Given the following periodic square wave, find the Fourier Series representations and plot Ck as a function of k. (Rectangular wave)

X01

C0=T/To

T/2=T1T=2T1

Ck=T/T0 sinc (Tkw0/2)

tkj

ko

o

oo

o

ok

oekTcT

T

kTcT

TTkc

T

TC

)(sin2

)(sin2

2sin

11

11

Same as before

Note: sinc (infinity) 1 & Max value of sinc(x)1/x

Page 23: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Using Fourier Series Table

• Express the Fourier Series for a triangular waveform?

• Express the Fourier Series for a triangular waveform that is amplitude shifted down by –X0/2 ? Plot the signal.

To

Xo

Page 24: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Fourier Series Transformation

• Express the Fourier Series for a triangular waveform?

• Express the Fourier Series for a triangular waveform that is amplitude shifted down by –X0/2 ? Plot the signal.

To

Xo

To

Xo/2

-Xo/2

From the table:

Page 25: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Fourier Series Transformation

• Express the Fourier Series for a triangular waveform?

• Express the Fourier Series for a triangular waveform that is amplitude shifted down by –X0/2 ? Plot the signal.

tkj

oddk

oo oek

XXtx

/2

2

2)(

To

Xo

tkj

oddk

o

tkj

oddk

ooo

o

o

o

ek

X

ek

XXX

txX

ty

/2

/2

2

2

22

)(2

)(

To

Xo/2

-Xo/2

Only DC value changed!

From the table:

Page 26: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Fourier Series Transformation• Express the Fourier Series for a

sawtooth waveform?

• Express the Fourier Series for this sawtooth waveform?

To

Xo

To

Xo

From the table:

-3

1

Page 27: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Fourier Series Transformation• Express the Fourier Series for a

sawtooth waveform?

• Express the Fourier Series for this sawtooth waveform?– We are using amplitude transfer– Remember Ax(t) + B

• Amplitude reversal A<0 • Amplitude scaling |A|=4/Xo• Amplitude shifting B=1

tkj

k

joo oeek

XXtx

0/

2/

22)(

To

Xo

To

Xo

1)(4

)(

txX

tyo

From the table:

-3

1

Page 28: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Example

Page 29: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Example

Page 30: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Fourier Series and Frequency Spectra

• We can plot the frequency spectrum or line spectrum of a signal– In Fourier Series k represent harmonics – Frequency spectrum is a graph that shows the amplitudes

and/or phases of the Fourier Series coefficients Ck.• Amplitude spectrum |Ck|

• Phase spectrum k

• The lines |Ck| are called line spectra because we indicate the values by lines

Page 31: Chapter 4 Fourier Series & Transforms. Basic Idea notes

Schaum’s Outline Problems

• Schaum’s Outline Chapter 5 Problems: – 4,5 6, 7, 8, 9, 10

• Do all the problems in chapter 4 of the textbook• Skip the following Sections in the text:

– 4.5

• Read the following Sections in the textbook on your own– 4.4