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7/31/2019 EECE 301 Note Set 28a CT Partial Fractions
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EECE 301
Signals & Systems
Prof. Mark Fowler
Note Set #28a
C-T Systems: Laplace Transform Partial Fractions Reading Assignment: Notes 28a Reading on Partial Fractions
(On my website)
7/31/2019 EECE 301 Note Set 28a CT Partial Fractions
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Ch. 1 Intro
C-T Signal Model
Functions on Real Line
D-T Signal Model
Functions on Integers
System Properties
LTICausal
Etc
Ch. 2 Diff EqsC-T System Model
Differential Equations
D-T Signal ModelDifference Equations
Zero-State Response
Zero-Input Response
Characteristic Eq.
Ch. 2 Convolution
C-T System Model
Convolution Integral
D-T System Model
Convolution Sum
Ch. 3: CT FourierSignalModels
Fourier Series
Periodic Signals
Fourier Transform (CTFT)
Non-Periodic Signals
New System Model
New Signal
Models
Ch. 5: CT FourierSystem Models
Frequency Response
Based on Fourier Transform
New System Model
Ch. 4: DT Fourier
SignalModels
DTFT
(for Hand Analysis)DFT & FFT
(for Computer Analysis)
New Signal
Model
Powerful
Analysis Tool
Ch. 6 & 8: LaplaceModels for CT
Signals & Systems
Transfer Function
New System Model
Ch. 7: Z Trans.
Models for DT
Signals & Systems
Transfer Function
New System
Model
Ch. 5: DT Fourier
System Models
Freq. Response for DT
Based on DTFT
New System Model
Course Flow DiagramThe arrows here show conceptual flow between ideas. Note the parallel structure between
the pink blocks (C-T Freq. Analysis) and the blue blocks (D-T Freq. Analysis).
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There is a set of notes on-line called . Reading Notes on Partial
Fraction Expansion
You should read these on your own
They lead you through several examples of using partial fractions to take a
ratio of two high-order polynomial and expand it into a sum of ratios of
simple polynomials.
You should be able to:
Perform a simple partial fraction by hand (e.g., during an
exam)
Use matlab to compute more complicated partial fractions
Here Ill cover the main ideas
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When trying to find the inverse Laplace transform it is helpful to be able to break a
complicated ratio of two polynomials into forms that are on the Laplace Transformtable.
Partial Fraction Expansion and Inverse LT
+=
+ RCsssRCs
RC --
/1
11
)/1(
/1 11LL
+
=
RCss
--
/1
11 11LL
Linearity
of LT
)(tu= )()/( tue RCt=
Here the factoring could be done by inspection in general, this factoringcan be done using the method of partial fraction expansion (PFE)
Factor LT
into simpler
forms
An Example:
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Motivation Going the Other Way
( ) ( )2
5
4
3
2)( +
++
+=
sssY
Suppose we had this:
We want to go from
here to here
This has poles at
s = -3 and s =-5
A term like thisis called a
Direct Term
We could find the common denominator and combine:
( )( )( )
( )( )( )
( )( )( )( )
158
47222
53
532
53
34
53
52)(
2
2
++
++=
++
+++
++
++
++
+=
ss
ss
ss
ss
ss
s
ss
ssY
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Ex. #1: No Direct Terms, No Repeated Roots, No Complex Roots
Well illustrate with an example like you should be able to do on an exam:
If the highest power in the numerator is less than the highest power in the
denominator then there will be no direct terms.
By using the quadratic formula to find the roots of the denominator we can
verify that there are no repeated or complex roots.
23
13)(
2 ++=ss
ssY
If there are no repeated roots and no direct terms we can
always write it as
)2()1()( 21
++
+=
s
r
s
rsY
The numbers r1 and r2 are called the residues we need to find them!
)2)(1(13)(++ = ss
ssYThe roots are: s = -2 and s = -1 so we can write:
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Now we exploit what we know:
)2()1()2)(1(
13 21
++
+=
++
s
r
s
r
ss
s
Multiply each side by (s+1) gives:
)2(
)1(
)1(
)1(
)2)(1(
)1)(13( 21
+
++
+
+=
++
+
s
sr
s
sr
ss
ss
Canceling (s+1) where we can gives:
)2(
)1(
)2(
)13( 21
+
++=
+
s
srr
s
s
Setting s = 1 gives:
4
)21(
)13(11 ==
+
rr
11)1)((
=+=
sssYr
All of this is
summarized
by this
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Similarly we find the other residue using: 7)2)((22=+=
=sssYr
)2(
7
)1(
4)(+
++=
sssY
Then we have:
Each of these terms is on the LT Table, so we get
)(7)(4
)2(
7
)1(
4)(
2
11
tuetue
ssty
tt
+=
++
+
= LL
See the set of notes on my website called . Reading Notes on Partial
Fraction Expansion for details on how to use MATLAB to find PartialFraction Expansions for the more complicated cases.