SlideShare a Scribd company logo
1 of 20
Download to read offline
Objectives…Objectives…Objectives…Objectives…Objectives…Objectives…Objectives…Objectives…
SignificanceSignificance ofof OneOne SidedSided (Unilateral)(Unilateral) ZZ –– TransformTransform..
DefinitionDefinition..
PropertiesProperties..
9/12/2013 Mahesh J. vadhavaniya 1
PropertiesProperties..
SolutionSolution ofof DifferenceDifference EquationsEquations..
ShiftingShifting
•• DelayDelay
•• AdvanceAdvance
FinalFinal ValueValue TheoremTheorem
Significance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided Z--------TransformTransformTransformTransformTransformTransformTransformTransform
TheThe twotwo sidedsided zz--transformtransform –– signalssignals areare specifiedspecified forfor
thethe entireentire timetime rangerange ∞<<∞ n-
CanCan notnot bebe usedused toto evaluateevaluate thethe outputoutput ofof nonnon--relaxedrelaxed
systemssystems..
NonNon--relaxedrelaxed areare systemssystems describeddescribed byby differencedifferenceNonNon--relaxedrelaxed areare systemssystems describeddescribed byby differencedifference
equationsequations withwith nonzerononzero initialinitial conditionsconditions..
We’ll Develop the one sided z-transform to solve
difference equations with initial conditions.
9/12/2013 Mahesh J. vadhavaniya 2
SinceSince thethe inputinput isis appliedapplied atat aa finitefinite timetime (n(n00),), bothboth thethe
inputinput andand outputoutput signalssignals areare specifiedspecified forfor n≥n≥ nn00,, butbut byby oo
meansmeans areare zerozero forfor nn << nn00 ..
∑
∞
=
−+
=
0
)()(
n
n
znxzX
Definition…Definition…Definition…Definition…Definition…Definition…Definition…Definition…
TheThe OneOne sidedsided (Unilateral)(Unilateral) zz--transformtransform ofof aa causalcausal
DTDT signalsignal x[n]x[n] isis defineddefined asas ::
WeWe cancan alsoalso writewrite :: ZZ++{x(n)}{x(n)} andand )()( zXnx
z
+
+
↔WeWe cancan alsoalso writewrite :: ZZ++{x(n)}{x(n)} andand )()( zXnx +
↔
EquivalentEquivalent toto thethe bilateralbilateral zz--transformtransform ofof x[n]u[n]x[n]u[n]
SinceSince x[n]u[n]x[n]u[n] isis alwaysalways aa rightright sidedsided sequence,sequence,
ROCROC ofof X(z)X(z) isis alwaysalways thethe exteriorexterior ofof aa circlecircle..
UsefulUseful forfor solvingsolving differencedifference equationsequations withwith initialinitial
conditionsconditions..
9/12/2013 Mahesh J. vadhavaniya 3
Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…)
ItIt doesdoes notnot containcontain informationinformation aboutabout thethe signalsignal
x(n)x(n) forfor negativenegative valuesvalues ofof timetime (for(for nn << 00 ))
ItIt isis uniqueunique onlyonly forfor causalcausal signals,signals, becausebecause onlyonly
thesethese signalssignals areare zerozero forfor nn << 00..thesethese signalssignals areare zerozero forfor nn << 00..
SinceSince x[n]u[n]x[n]u[n] isis alwaysalways aa rightright sidedsided sequence,sequence,
ROCROC ofof X(z)X(z) isis alwaysalways thethe exteriorexterior ofof aa circlecircle.. SoSo whenwhen
wewe dealdeal withwith oneone sidedsided zz--transform,transform, itit isis notnot
necessarynecessary toto referrefer toto theirtheir ROCROC..
9/12/2013 Mahesh J. vadhavaniya 4
Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…)
(A) 1X1(n) = { 1, 2, 5, 7, 0, 1 }
(B) 2X2(n) = { 1, 2, 3, 0, 8, 1 }
-5-3-2-1
1
z7z5z2z1=(z)x ++++
+
-3-2
2
z8z3=(z)x ++
+
2
z8z3=(z)x ++
(C) 3X3(n) = { 0, 0, 1, 2, 5, 7, 0, 1 }
-7-5-4-3-2
3
zz7z5z2z=(z)x ++++
+
(D) 4X4(n) = { 2, 4, 5, 7, 0, 1 }
-3-1
4
z7z5=(z)x ++
+
9/12/2013 Mahesh J. vadhavaniya 5
Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…)
(E) X5(n) = δ (n)
(F) X6(n) = δ (n - k)
1=(z)x 5
+
0k,z=(z) -k
6x >
+
(G) X7(n) = δ (n + k)
0k0,=(z)x 7
>
+
9/12/2013 Mahesh J. vadhavaniya 6
Significance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided Z--------TransformTransformTransformTransformTransformTransformTransformTransform
ForFor aa nonnon--causalcausal signal,signal, thethe oneone sidedsided zz--transformtransform isis
notnot uniqueunique..
ForFor aa causalcausal signal,signal, thethe oneone sidedsided zz--transformtransform isis uniqueunique..
9/12/2013 Mahesh J. vadhavaniya 18
ForFor antianti--causalcausal signals,signals, thethe oneone sidedsided zz--transformtransform isis
alwaysalways zerozero..
Properties…Properties…Properties…Properties…Properties…Properties…Properties…Properties…
Shifting Property :-
Case 1 : Time Delay
0k,)()()(
)()(
1
z
>





−+→←−
→←
∑=
+−
+
+
+
k
n
nkz
znxzXzknxthen
zXnxIf
1  =n
)(zk)-then x(ncausal,isx(n)case -kz
zXIn +
→←
+
Proof :-






+=






+=−
+
−
−=
−−
∞
=
−
−
−=
−−+
∑
∑∑
)()(
)()()}({
1
0
1
zXzlxz
zlxzlxzknxZ
k
l
lk
l
l
kl
lk
ChangeChange thethe indexindex fromfrom ll toto nn == --ll
9/12/2013 Mahesh J. vadhavaniya 7
Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…)
Example 1: Determine the one-sided z-transform of
X1(n) = x(n-2) where x(n) = an
ApplyApply thethe shiftingshifting propertyproperty forfor kk == 22,, wewe havehaveProof :
12
2-2
)2()1()(
])2()1()([z=2)}-{x(nZ
−+−
++
−+−+=
−+−+
xzxzXz
ZxzxzX
211
1
2
1
1
21
12
1
)(
1
1
)(,)2(,x(-1)Since
)2()1()(
−−−
−
−
+
−
−−
−+−
++
−
=
−
==−=
−+−+=
aza
az
z
zX
obtainwe
az
zXaxa
xzxzXz
ToTo obtainobtain x(nx(n--k)k) (k>(k>00)) fromfrom x(n),x(n), wewe shouldshould shiftshift x(n)x(n) byby kk
samplessamples toto thethe rightright..
9/12/2013 Mahesh J. vadhavaniya 8
Properties…Properties…Properties…Properties…Properties…Properties…Properties…Properties…
Shifting Property :-
Case 2 : Time Advance
0k,)()()(
)()(
1
0
z
>





−→←+
→←
∑
−
=
−+
+
+
+
k
n
nkz
znxzXzknxthen
zXnxIf
0  =n
Proof :-
∑∑
∞
=
−
∞
=
−+
=+=+
kl
lk
n
n
zlxzzknxknxZ )()()}({
0
We have changed the index of summation from n to l = n+k
∑∑∑
∞
=
−
−
=
−
∞
=
−+
+==
kl
l
k
l
l
l
l
zlxzlxzlxzX )()()()(
1
00






−= ∑
−
=
−++
1
0
)()()(
k
n
nk
znxzXzzX
9/12/2013 Mahesh J. vadhavaniya 9
Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…)
Example 2: Determine the one-sided z-transform of
X2(n) = x(n + 2) where x(n) = an
ApplyApply thethe shiftingshifting propertyproperty forfor kk == 22,, wewe havehaveProof :
zxxzX −−+ ++ 2
])1()0()([z=2)}{x(nZ
azz
az
z
zX
obtainweazzXaxand
zxzxzXz
−−
−
=
−===
−−=
−
+
−+
+
2
1
2
2
1
1
22
1
)(
)1(1)(and,)1(,1x(0)Since
)1()0()(
ToTo obtainobtain x(x(n+kn+k)) (k>(k>00)) fromfrom x(n),x(n), wewe shouldshould shiftshift x(n)x(n) byby kk
samplessamples toto thethe leftleft..
9/12/2013 Mahesh J. vadhavaniya 10
Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…)
Final Value Theorem :
Proof :
)()1(lim)()(lim
)()(
1zn
z
zXzxnxthen
zXnxIf
+
→∞→
+
−=∞=
→←
+
∑
∞
−
∞=∞ )()]([ n
zxxZ
∑
∑
∑
∑
∞
=
−+
∞
=
−++
∞
=
−
=
−+=−−
−+=−−
−+=−+
∞=∞
0
0
0
0
)]()1([)0()()1(
)]()1([)()]0()([
)]()1([)]()1([
)()]([
n
n
n
n
n
n
n
znxnxxzXz
znxnxzXxzzX
znxnxnxnxZ
zxxZ
TakingTaking thethe limitlimit zz 11 onon bothboth sides,sides,
9/12/2013 Mahesh J. vadhavaniya 11
Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…)
Final Value Theorem :
exp
)]()1([)]0()()1[(lim
])]()1([[lim)]0()()1[(lim
0
1z
0
1
1z1z
l n termanding tilnow
nxnxxzXz
znxnxxzXz
n
n
∞
=
+
→
∞
=
−
→
+
→
−+=−−
−+=−−
∑
∑
ThisThis theoremtheorem enablesenables usus toto findfind thethe steadysteady statestate valuevalue ofof
x(n)x(n) withoutwithout solvingsolving forfor thethe entireentire sequencesequence..
)()1(lim)(therefore
)0()()]0()()1[(lim
)]}()1([...
)]1()2([)]0()1({[lim)]0()()1[(lim
exp
1
1z
n1z
zXzx
xxxzXz
nxnx
xxxxxzXz
l n termanding tilnow
z
+
→
+
→
∞→
+
→
−=∞
−∞=−−
−++
+−+−=−−
9/12/2013 Mahesh J. vadhavaniya 12
Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …
Use the one sided z-transformation to determine y(n),
n≥0, if
GivenGiven
Example 1 :
1)1();(
3
1
)();()1(
2
1
)( =−





=+−= ynunxnxnyny
n
Solution :
)()1(
2
1
)( nxnyny +−=
1
TakingTaking zz--transformtransform onon bothboth sidessides )()]1()([
2
1
)( 1
zXyzYzzY +−+= −
SubstituteSubstitute y(y(--11)=)=11 andand
3
1
)(
3
1
)(
−
=














=
z
z
nuZzX
n
3
1
5.0)(5.0)(
3
1
]1)([
2
1
)(
1
1
−
++=
−
++=
−
−
z
z
zYzzY
z
z
zYzzY
9/12/2013 Mahesh J. vadhavaniya 13
Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …
( )
5.0)(
5.01
3
15.01
5.0
)(
3
1
5.0)()5.01(
1
1
1
+=
−





−
+
−
=
−
+=−
−
−
−
zzY
zz
z
z
z
zY
z
z
zYz
( )
3
1
2
5.0
3
5.0
5.0
)(
3
1
2
5.0
3
5.0
5.0)(
5.0
3
15.0
5.0)(
−
−
−
+
−
=
−
−
−
+
−
=
−





−
+
−
=
z
z
z
z
z
z
zY
zzzz
zY
zz
z
zz
zY
9/12/2013 Mahesh J. vadhavaniya 14
Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …
( ) ( ) ( )
( ) ( ) )(]3125.05.3[)(
)(]3125.035.05.0[)(
nuny
nuny
nn
nnn
−=
−+=
TakingTaking inverseinverse zz--transform,transform, wewe getget
( ) ( ) )(]3125.05.3[)( nuny
nn
−=
9/12/2013 Mahesh J. vadhavaniya 15
The unilateral z transform is well suited to solving difference
equations with initial conditions. For example,
y n + 2[ ]−
3
2
y n +1[ ]+
1
2
y n[ ]= 1/ 4( )n
, for n ≥ 0
Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …
Example 2 :
2 2
y 0[ ]= 10 and y 1[ ]= 4
z transforming both sides,
z2
Y z( )− y 0[ ]− z−1
y 1[ ]  −
3
2
z Y z( )− y 0[ ]  +
1
2
Y z( ) =
z
z −1/ 4
the initial conditions are called for systematically.
9/12/2013 Mahesh J. vadhavaniya 16
Applying initial conditions and solving,
Y z( ) = z
16 / 3
z −1/ 4
+
4
z −1/ 2
+
2 / 3
z −1




and
Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …
and
y n[ ]=
16
3
1
4




n
+ 4
1
2




n
+
2
3





u n[ ]
This solution satisfies the difference equation and the initial
conditions.
9/12/2013 Mahesh J. vadhavaniya 17
9/12/2013 Mahesh J. Vadhavaniya 20

More Related Content

What's hot

discrete time signals and systems
 discrete time signals and systems  discrete time signals and systems
discrete time signals and systems Zlatan Ahmadovic
 
Verilog coding of demux 8 x1
Verilog coding of demux  8 x1Verilog coding of demux  8 x1
Verilog coding of demux 8 x1Rakesh kumar jha
 
inverse z-transform ppt
inverse z-transform pptinverse z-transform ppt
inverse z-transform pptmihir jain
 
Discrete Time Fourier Transform
Discrete Time Fourier TransformDiscrete Time Fourier Transform
Discrete Time Fourier TransformWaqas Afzal
 
DSP_FOEHU - MATLAB 03 - The z-Transform
DSP_FOEHU - MATLAB 03 - The z-TransformDSP_FOEHU - MATLAB 03 - The z-Transform
DSP_FOEHU - MATLAB 03 - The z-TransformAmr E. Mohamed
 
Chapter2 - Linear Time-Invariant System
Chapter2 - Linear Time-Invariant SystemChapter2 - Linear Time-Invariant System
Chapter2 - Linear Time-Invariant SystemAttaporn Ninsuwan
 
Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR)
Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR) Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR)
Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR) Chandrashekhar Padole
 
Two Port Network Parameters
Two Port Network ParametersTwo Port Network Parameters
Two Port Network Parametersmmlodro
 
Frequency Response Analysis
Frequency Response AnalysisFrequency Response Analysis
Frequency Response AnalysisHussain K
 
Classification of systems : Part 2
Classification of systems  :  Part 2Classification of systems  :  Part 2
Classification of systems : Part 2Dr.SHANTHI K.G
 
Design of IIR filters
Design of IIR filtersDesign of IIR filters
Design of IIR filtersop205
 
Windowing techniques of fir filter design
Windowing techniques of fir filter designWindowing techniques of fir filter design
Windowing techniques of fir filter designRohan Nagpal
 
Noise in AM systems.ppt
Noise in AM systems.pptNoise in AM systems.ppt
Noise in AM systems.pptinfomerlin
 
signal & system inverse z-transform
signal & system inverse z-transformsignal & system inverse z-transform
signal & system inverse z-transformmihir jain
 

What's hot (20)

Aec manual for III SEM ECE Students VTU
Aec manual for III SEM ECE Students VTUAec manual for III SEM ECE Students VTU
Aec manual for III SEM ECE Students VTU
 
discrete time signals and systems
 discrete time signals and systems  discrete time signals and systems
discrete time signals and systems
 
Z transform ROC eng.Math
Z transform ROC eng.MathZ transform ROC eng.Math
Z transform ROC eng.Math
 
Verilog coding of demux 8 x1
Verilog coding of demux  8 x1Verilog coding of demux  8 x1
Verilog coding of demux 8 x1
 
inverse z-transform ppt
inverse z-transform pptinverse z-transform ppt
inverse z-transform ppt
 
Discrete Time Fourier Transform
Discrete Time Fourier TransformDiscrete Time Fourier Transform
Discrete Time Fourier Transform
 
Pass Transistor Logic
Pass Transistor LogicPass Transistor Logic
Pass Transistor Logic
 
DSP_FOEHU - MATLAB 03 - The z-Transform
DSP_FOEHU - MATLAB 03 - The z-TransformDSP_FOEHU - MATLAB 03 - The z-Transform
DSP_FOEHU - MATLAB 03 - The z-Transform
 
Chapter2 - Linear Time-Invariant System
Chapter2 - Linear Time-Invariant SystemChapter2 - Linear Time-Invariant System
Chapter2 - Linear Time-Invariant System
 
Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR)
Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR) Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR)
Digital Signal Processing Tutorial: Chapt 4 design of digital filters (FIR)
 
Two Port Network Parameters
Two Port Network ParametersTwo Port Network Parameters
Two Port Network Parameters
 
Frequency Response Analysis
Frequency Response AnalysisFrequency Response Analysis
Frequency Response Analysis
 
Classification of systems : Part 2
Classification of systems  :  Part 2Classification of systems  :  Part 2
Classification of systems : Part 2
 
Design of IIR filters
Design of IIR filtersDesign of IIR filters
Design of IIR filters
 
Windowing techniques of fir filter design
Windowing techniques of fir filter designWindowing techniques of fir filter design
Windowing techniques of fir filter design
 
Noise in AM systems.ppt
Noise in AM systems.pptNoise in AM systems.ppt
Noise in AM systems.ppt
 
Pn sequence
Pn sequencePn sequence
Pn sequence
 
Z transform
Z transformZ transform
Z transform
 
Chebyshev filter
Chebyshev filterChebyshev filter
Chebyshev filter
 
signal & system inverse z-transform
signal & system inverse z-transformsignal & system inverse z-transform
signal & system inverse z-transform
 

Viewers also liked

Dsp U Lec05 The Z Transform
Dsp U   Lec05 The Z TransformDsp U   Lec05 The Z Transform
Dsp U Lec05 The Z Transformtaha25
 
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...a3labdsp
 
Neural nets: How regular expressions brought about deep learning
Neural nets: How regular expressions brought about deep learningNeural nets: How regular expressions brought about deep learning
Neural nets: How regular expressions brought about deep learningMatthew
 
Digital Signal Processing Tutorial:Chapt 2 z transform
Digital Signal Processing Tutorial:Chapt 2 z transformDigital Signal Processing Tutorial:Chapt 2 z transform
Digital Signal Processing Tutorial:Chapt 2 z transformChandrashekhar Padole
 
Social Media Influence on Society and Politics
Social Media Influence on Society and PoliticsSocial Media Influence on Society and Politics
Social Media Influence on Society and PoliticsMayuree Srikulwong
 
Deep Belief nets
Deep Belief netsDeep Belief nets
Deep Belief netsbutest
 
Z TRANSFORM PROPERTIES AND INVERSE Z TRANSFORM
Z TRANSFORM PROPERTIES AND INVERSE Z TRANSFORMZ TRANSFORM PROPERTIES AND INVERSE Z TRANSFORM
Z TRANSFORM PROPERTIES AND INVERSE Z TRANSFORMTowfeeq Umar
 
Dsp U Lec06 The Z Transform And Its Application
Dsp U   Lec06 The Z Transform And Its ApplicationDsp U   Lec06 The Z Transform And Its Application
Dsp U Lec06 The Z Transform And Its Applicationtaha25
 
Dsp U Lec07 Realization Of Discrete Time Systems
Dsp U   Lec07 Realization Of Discrete Time SystemsDsp U   Lec07 Realization Of Discrete Time Systems
Dsp U Lec07 Realization Of Discrete Time Systemstaha25
 
Lti and z transform
Lti and z transformLti and z transform
Lti and z transformpranvendra29
 
Political issues
Political issuesPolitical issues
Political issuesnovbah12
 
Power System Analysis!
Power System Analysis!Power System Analysis!
Power System Analysis!PRABHAHARAN429
 

Viewers also liked (17)

Chapter 5 (maths 3)
Chapter 5 (maths 3)Chapter 5 (maths 3)
Chapter 5 (maths 3)
 
Z transform
 Z transform Z transform
Z transform
 
Dsp U Lec05 The Z Transform
Dsp U   Lec05 The Z TransformDsp U   Lec05 The Z Transform
Dsp U Lec05 The Z Transform
 
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
 
Neural nets: How regular expressions brought about deep learning
Neural nets: How regular expressions brought about deep learningNeural nets: How regular expressions brought about deep learning
Neural nets: How regular expressions brought about deep learning
 
Digital Signal Processing Tutorial:Chapt 2 z transform
Digital Signal Processing Tutorial:Chapt 2 z transformDigital Signal Processing Tutorial:Chapt 2 z transform
Digital Signal Processing Tutorial:Chapt 2 z transform
 
Social Media Influence on Society and Politics
Social Media Influence on Society and PoliticsSocial Media Influence on Society and Politics
Social Media Influence on Society and Politics
 
Deep Belief nets
Deep Belief netsDeep Belief nets
Deep Belief nets
 
inverse z transform
inverse z transforminverse z transform
inverse z transform
 
Z TRANSFORM PROPERTIES AND INVERSE Z TRANSFORM
Z TRANSFORM PROPERTIES AND INVERSE Z TRANSFORMZ TRANSFORM PROPERTIES AND INVERSE Z TRANSFORM
Z TRANSFORM PROPERTIES AND INVERSE Z TRANSFORM
 
Dsp U Lec06 The Z Transform And Its Application
Dsp U   Lec06 The Z Transform And Its ApplicationDsp U   Lec06 The Z Transform And Its Application
Dsp U Lec06 The Z Transform And Its Application
 
Dsp U Lec07 Realization Of Discrete Time Systems
Dsp U   Lec07 Realization Of Discrete Time SystemsDsp U   Lec07 Realization Of Discrete Time Systems
Dsp U Lec07 Realization Of Discrete Time Systems
 
Lti and z transform
Lti and z transformLti and z transform
Lti and z transform
 
Lti system
Lti systemLti system
Lti system
 
Z transform
Z transformZ transform
Z transform
 
Political issues
Political issuesPolitical issues
Political issues
 
Power System Analysis!
Power System Analysis!Power System Analysis!
Power System Analysis!
 

Similar to One sided z transform

short course on Subsurface stochastic modelling and geostatistics
short course on Subsurface stochastic modelling and geostatisticsshort course on Subsurface stochastic modelling and geostatistics
short course on Subsurface stochastic modelling and geostatisticsAmro Elfeki
 
Slides_Resilient_State_Estimation_CDC23.pdf
Slides_Resilient_State_Estimation_CDC23.pdfSlides_Resilient_State_Estimation_CDC23.pdf
Slides_Resilient_State_Estimation_CDC23.pdfMohammad Khajenejad
 
NTHU AI Reading Group: Improved Training of Wasserstein GANs
NTHU AI Reading Group: Improved Training of Wasserstein GANsNTHU AI Reading Group: Improved Training of Wasserstein GANs
NTHU AI Reading Group: Improved Training of Wasserstein GANsMark Chang
 
51542 0131469657 ism-1
51542 0131469657 ism-151542 0131469657 ism-1
51542 0131469657 ism-1Ani_Agustina
 
51554 0131469657 ism-13
51554 0131469657 ism-1351554 0131469657 ism-13
51554 0131469657 ism-13Carlos Fuentes
 
CS 354 Graphics Math
CS 354 Graphics MathCS 354 Graphics Math
CS 354 Graphics MathMark Kilgard
 
Summary Of Important Laws Of Differentiation And Integration
Summary Of Important Laws Of Differentiation And IntegrationSummary Of Important Laws Of Differentiation And Integration
Summary Of Important Laws Of Differentiation And IntegrationAhmed Hamed
 
ゲーム理論BASIC 演習6 -仁を求める-
ゲーム理論BASIC 演習6 -仁を求める-ゲーム理論BASIC 演習6 -仁を求める-
ゲーム理論BASIC 演習6 -仁を求める-ssusere0a682
 
Integration techniques
Integration techniquesIntegration techniques
Integration techniquesKrishna Gali
 
Gradient , Directional Derivative , Divergence , Curl
Gradient , Directional Derivative , Divergence , Curl Gradient , Directional Derivative , Divergence , Curl
Gradient , Directional Derivative , Divergence , Curl VishalVishwakarma59
 
Point Collocation Method used in the solving of Differential Equations, parti...
Point Collocation Method used in the solving of Differential Equations, parti...Point Collocation Method used in the solving of Differential Equations, parti...
Point Collocation Method used in the solving of Differential Equations, parti...Suddhasheel GHOSH, PhD
 
Doubly Accelerated Stochastic Variance Reduced Gradient Methods for Regulariz...
Doubly Accelerated Stochastic Variance Reduced Gradient Methods for Regulariz...Doubly Accelerated Stochastic Variance Reduced Gradient Methods for Regulariz...
Doubly Accelerated Stochastic Variance Reduced Gradient Methods for Regulariz...Tomoya Murata
 
09-Z_Transform_to_review.pptxsignal spectra signal processing
09-Z_Transform_to_review.pptxsignal spectra signal processing09-Z_Transform_to_review.pptxsignal spectra signal processing
09-Z_Transform_to_review.pptxsignal spectra signal processingJordanJohmMallillin
 
Directional Derivative.pdf
Directional Derivative.pdfDirectional Derivative.pdf
Directional Derivative.pdfWaqas Mehmood
 
Lesson18 Double Integrals Over Rectangles Slides
Lesson18   Double Integrals Over Rectangles SlidesLesson18   Double Integrals Over Rectangles Slides
Lesson18 Double Integrals Over Rectangles SlidesMatthew Leingang
 

Similar to One sided z transform (20)

maths ZT.pdf
maths ZT.pdfmaths ZT.pdf
maths ZT.pdf
 
short course on Subsurface stochastic modelling and geostatistics
short course on Subsurface stochastic modelling and geostatisticsshort course on Subsurface stochastic modelling and geostatistics
short course on Subsurface stochastic modelling and geostatistics
 
Slides_Resilient_State_Estimation_CDC23.pdf
Slides_Resilient_State_Estimation_CDC23.pdfSlides_Resilient_State_Estimation_CDC23.pdf
Slides_Resilient_State_Estimation_CDC23.pdf
 
NTHU AI Reading Group: Improved Training of Wasserstein GANs
NTHU AI Reading Group: Improved Training of Wasserstein GANsNTHU AI Reading Group: Improved Training of Wasserstein GANs
NTHU AI Reading Group: Improved Training of Wasserstein GANs
 
Graphical method
Graphical methodGraphical method
Graphical method
 
51542 0131469657 ism-1
51542 0131469657 ism-151542 0131469657 ism-1
51542 0131469657 ism-1
 
51554 0131469657 ism-13
51554 0131469657 ism-1351554 0131469657 ism-13
51554 0131469657 ism-13
 
CS 354 Graphics Math
CS 354 Graphics MathCS 354 Graphics Math
CS 354 Graphics Math
 
Summary Of Important Laws Of Differentiation And Integration
Summary Of Important Laws Of Differentiation And IntegrationSummary Of Important Laws Of Differentiation And Integration
Summary Of Important Laws Of Differentiation And Integration
 
CLIM Fall 2017 Course: Statistics for Climate Research, Spatial Data: Models ...
CLIM Fall 2017 Course: Statistics for Climate Research, Spatial Data: Models ...CLIM Fall 2017 Course: Statistics for Climate Research, Spatial Data: Models ...
CLIM Fall 2017 Course: Statistics for Climate Research, Spatial Data: Models ...
 
ゲーム理論BASIC 演習6 -仁を求める-
ゲーム理論BASIC 演習6 -仁を求める-ゲーム理論BASIC 演習6 -仁を求める-
ゲーム理論BASIC 演習6 -仁を求める-
 
Integration techniques
Integration techniquesIntegration techniques
Integration techniques
 
Gradient , Directional Derivative , Divergence , Curl
Gradient , Directional Derivative , Divergence , Curl Gradient , Directional Derivative , Divergence , Curl
Gradient , Directional Derivative , Divergence , Curl
 
Point Collocation Method used in the solving of Differential Equations, parti...
Point Collocation Method used in the solving of Differential Equations, parti...Point Collocation Method used in the solving of Differential Equations, parti...
Point Collocation Method used in the solving of Differential Equations, parti...
 
Doubly Accelerated Stochastic Variance Reduced Gradient Methods for Regulariz...
Doubly Accelerated Stochastic Variance Reduced Gradient Methods for Regulariz...Doubly Accelerated Stochastic Variance Reduced Gradient Methods for Regulariz...
Doubly Accelerated Stochastic Variance Reduced Gradient Methods for Regulariz...
 
mean_variance
mean_variancemean_variance
mean_variance
 
Signal3
Signal3Signal3
Signal3
 
09-Z_Transform_to_review.pptxsignal spectra signal processing
09-Z_Transform_to_review.pptxsignal spectra signal processing09-Z_Transform_to_review.pptxsignal spectra signal processing
09-Z_Transform_to_review.pptxsignal spectra signal processing
 
Directional Derivative.pdf
Directional Derivative.pdfDirectional Derivative.pdf
Directional Derivative.pdf
 
Lesson18 Double Integrals Over Rectangles Slides
Lesson18   Double Integrals Over Rectangles SlidesLesson18   Double Integrals Over Rectangles Slides
Lesson18 Double Integrals Over Rectangles Slides
 

More from Mahesh Vadhavaniya profmjv (7)

PLC - Programmable Logic Controller
PLC - Programmable Logic ControllerPLC - Programmable Logic Controller
PLC - Programmable Logic Controller
 
LED
LEDLED
LED
 
Fuzzy logic
Fuzzy logicFuzzy logic
Fuzzy logic
 
PIC_ARM_AVR
PIC_ARM_AVRPIC_ARM_AVR
PIC_ARM_AVR
 
Thyristor
ThyristorThyristor
Thyristor
 
Pole Placement in Digital Control
Pole Placement in Digital ControlPole Placement in Digital Control
Pole Placement in Digital Control
 
Evolution of Power Electronics Engineering
Evolution of Power Electronics EngineeringEvolution of Power Electronics Engineering
Evolution of Power Electronics Engineering
 

Recently uploaded

Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptxmary850239
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxlancelewisportillo
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 

Recently uploaded (20)

Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
 
Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 

One sided z transform

  • 1.
  • 2. Objectives…Objectives…Objectives…Objectives…Objectives…Objectives…Objectives…Objectives… SignificanceSignificance ofof OneOne SidedSided (Unilateral)(Unilateral) ZZ –– TransformTransform.. DefinitionDefinition.. PropertiesProperties.. 9/12/2013 Mahesh J. vadhavaniya 1 PropertiesProperties.. SolutionSolution ofof DifferenceDifference EquationsEquations.. ShiftingShifting •• DelayDelay •• AdvanceAdvance FinalFinal ValueValue TheoremTheorem
  • 3. Significance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided Z--------TransformTransformTransformTransformTransformTransformTransformTransform TheThe twotwo sidedsided zz--transformtransform –– signalssignals areare specifiedspecified forfor thethe entireentire timetime rangerange ∞<<∞ n- CanCan notnot bebe usedused toto evaluateevaluate thethe outputoutput ofof nonnon--relaxedrelaxed systemssystems.. NonNon--relaxedrelaxed areare systemssystems describeddescribed byby differencedifferenceNonNon--relaxedrelaxed areare systemssystems describeddescribed byby differencedifference equationsequations withwith nonzerononzero initialinitial conditionsconditions.. We’ll Develop the one sided z-transform to solve difference equations with initial conditions. 9/12/2013 Mahesh J. vadhavaniya 2 SinceSince thethe inputinput isis appliedapplied atat aa finitefinite timetime (n(n00),), bothboth thethe inputinput andand outputoutput signalssignals areare specifiedspecified forfor n≥n≥ nn00,, butbut byby oo meansmeans areare zerozero forfor nn << nn00 ..
  • 4. ∑ ∞ = −+ = 0 )()( n n znxzX Definition…Definition…Definition…Definition…Definition…Definition…Definition…Definition… TheThe OneOne sidedsided (Unilateral)(Unilateral) zz--transformtransform ofof aa causalcausal DTDT signalsignal x[n]x[n] isis defineddefined asas :: WeWe cancan alsoalso writewrite :: ZZ++{x(n)}{x(n)} andand )()( zXnx z + + ↔WeWe cancan alsoalso writewrite :: ZZ++{x(n)}{x(n)} andand )()( zXnx + ↔ EquivalentEquivalent toto thethe bilateralbilateral zz--transformtransform ofof x[n]u[n]x[n]u[n] SinceSince x[n]u[n]x[n]u[n] isis alwaysalways aa rightright sidedsided sequence,sequence, ROCROC ofof X(z)X(z) isis alwaysalways thethe exteriorexterior ofof aa circlecircle.. UsefulUseful forfor solvingsolving differencedifference equationsequations withwith initialinitial conditionsconditions.. 9/12/2013 Mahesh J. vadhavaniya 3
  • 5. Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…) ItIt doesdoes notnot containcontain informationinformation aboutabout thethe signalsignal x(n)x(n) forfor negativenegative valuesvalues ofof timetime (for(for nn << 00 )) ItIt isis uniqueunique onlyonly forfor causalcausal signals,signals, becausebecause onlyonly thesethese signalssignals areare zerozero forfor nn << 00..thesethese signalssignals areare zerozero forfor nn << 00.. SinceSince x[n]u[n]x[n]u[n] isis alwaysalways aa rightright sidedsided sequence,sequence, ROCROC ofof X(z)X(z) isis alwaysalways thethe exteriorexterior ofof aa circlecircle.. SoSo whenwhen wewe dealdeal withwith oneone sidedsided zz--transform,transform, itit isis notnot necessarynecessary toto referrefer toto theirtheir ROCROC.. 9/12/2013 Mahesh J. vadhavaniya 4
  • 6. Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…) (A) 1X1(n) = { 1, 2, 5, 7, 0, 1 } (B) 2X2(n) = { 1, 2, 3, 0, 8, 1 } -5-3-2-1 1 z7z5z2z1=(z)x ++++ + -3-2 2 z8z3=(z)x ++ + 2 z8z3=(z)x ++ (C) 3X3(n) = { 0, 0, 1, 2, 5, 7, 0, 1 } -7-5-4-3-2 3 zz7z5z2z=(z)x ++++ + (D) 4X4(n) = { 2, 4, 5, 7, 0, 1 } -3-1 4 z7z5=(z)x ++ + 9/12/2013 Mahesh J. vadhavaniya 5
  • 7. Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (Definition… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…) (E) X5(n) = δ (n) (F) X6(n) = δ (n - k) 1=(z)x 5 + 0k,z=(z) -k 6x > + (G) X7(n) = δ (n + k) 0k0,=(z)x 7 > + 9/12/2013 Mahesh J. vadhavaniya 6
  • 8. Significance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided ZSignificance of One Sided Z--------TransformTransformTransformTransformTransformTransformTransformTransform ForFor aa nonnon--causalcausal signal,signal, thethe oneone sidedsided zz--transformtransform isis notnot uniqueunique.. ForFor aa causalcausal signal,signal, thethe oneone sidedsided zz--transformtransform isis uniqueunique.. 9/12/2013 Mahesh J. vadhavaniya 18 ForFor antianti--causalcausal signals,signals, thethe oneone sidedsided zz--transformtransform isis alwaysalways zerozero..
  • 9. Properties…Properties…Properties…Properties…Properties…Properties…Properties…Properties… Shifting Property :- Case 1 : Time Delay 0k,)()()( )()( 1 z >      −+→←− →← ∑= +− + + + k n nkz znxzXzknxthen zXnxIf 1  =n )(zk)-then x(ncausal,isx(n)case -kz zXIn + →← + Proof :-       +=       +=− + − −= −− ∞ = − − −= −−+ ∑ ∑∑ )()( )()()}({ 1 0 1 zXzlxz zlxzlxzknxZ k l lk l l kl lk ChangeChange thethe indexindex fromfrom ll toto nn == --ll 9/12/2013 Mahesh J. vadhavaniya 7
  • 10. Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…) Example 1: Determine the one-sided z-transform of X1(n) = x(n-2) where x(n) = an ApplyApply thethe shiftingshifting propertyproperty forfor kk == 22,, wewe havehaveProof : 12 2-2 )2()1()( ])2()1()([z=2)}-{x(nZ −+− ++ −+−+= −+−+ xzxzXz ZxzxzX 211 1 2 1 1 21 12 1 )( 1 1 )(,)2(,x(-1)Since )2()1()( −−− − − + − −− −+− ++ − = − ==−= −+−+= aza az z zX obtainwe az zXaxa xzxzXz ToTo obtainobtain x(nx(n--k)k) (k>(k>00)) fromfrom x(n),x(n), wewe shouldshould shiftshift x(n)x(n) byby kk samplessamples toto thethe rightright.. 9/12/2013 Mahesh J. vadhavaniya 8
  • 11. Properties…Properties…Properties…Properties…Properties…Properties…Properties…Properties… Shifting Property :- Case 2 : Time Advance 0k,)()()( )()( 1 0 z >      −→←+ →← ∑ − = −+ + + + k n nkz znxzXzknxthen zXnxIf 0  =n Proof :- ∑∑ ∞ = − ∞ = −+ =+=+ kl lk n n zlxzzknxknxZ )()()}({ 0 We have changed the index of summation from n to l = n+k ∑∑∑ ∞ = − − = − ∞ = −+ +== kl l k l l l l zlxzlxzlxzX )()()()( 1 00       −= ∑ − = −++ 1 0 )()()( k n nk znxzXzzX 9/12/2013 Mahesh J. vadhavaniya 9
  • 12. Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…) Example 2: Determine the one-sided z-transform of X2(n) = x(n + 2) where x(n) = an ApplyApply thethe shiftingshifting propertyproperty forfor kk == 22,, wewe havehaveProof : zxxzX −−+ ++ 2 ])1()0()([z=2)}{x(nZ azz az z zX obtainweazzXaxand zxzxzXz −− − = −=== −−= − + −+ + 2 1 2 2 1 1 22 1 )( )1(1)(and,)1(,1x(0)Since )1()0()( ToTo obtainobtain x(x(n+kn+k)) (k>(k>00)) fromfrom x(n),x(n), wewe shouldshould shiftshift x(n)x(n) byby kk samplessamples toto thethe leftleft.. 9/12/2013 Mahesh J. vadhavaniya 10
  • 13. Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…) Final Value Theorem : Proof : )()1(lim)()(lim )()( 1zn z zXzxnxthen zXnxIf + →∞→ + −=∞= →← + ∑ ∞ − ∞=∞ )()]([ n zxxZ ∑ ∑ ∑ ∑ ∞ = −+ ∞ = −++ ∞ = − = −+=−− −+=−− −+=−+ ∞=∞ 0 0 0 0 )]()1([)0()()1( )]()1([)()]0()([ )]()1([)]()1([ )()]([ n n n n n n n znxnxxzXz znxnxzXxzzX znxnxnxnxZ zxxZ TakingTaking thethe limitlimit zz 11 onon bothboth sides,sides, 9/12/2013 Mahesh J. vadhavaniya 11
  • 14. Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (Properties… (cntdcntdcntdcntdcntdcntdcntdcntd…)…)…)…)…)…)…)…) Final Value Theorem : exp )]()1([)]0()()1[(lim ])]()1([[lim)]0()()1[(lim 0 1z 0 1 1z1z l n termanding tilnow nxnxxzXz znxnxxzXz n n ∞ = + → ∞ = − → + → −+=−− −+=−− ∑ ∑ ThisThis theoremtheorem enablesenables usus toto findfind thethe steadysteady statestate valuevalue ofof x(n)x(n) withoutwithout solvingsolving forfor thethe entireentire sequencesequence.. )()1(lim)(therefore )0()()]0()()1[(lim )]}()1([... )]1()2([)]0()1({[lim)]0()()1[(lim exp 1 1z n1z zXzx xxxzXz nxnx xxxxxzXz l n termanding tilnow z + → + → ∞→ + → −=∞ −∞=−− −++ +−+−=−− 9/12/2013 Mahesh J. vadhavaniya 12
  • 15. Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations … Use the one sided z-transformation to determine y(n), n≥0, if GivenGiven Example 1 : 1)1();( 3 1 )();()1( 2 1 )( =−      =+−= ynunxnxnyny n Solution : )()1( 2 1 )( nxnyny +−= 1 TakingTaking zz--transformtransform onon bothboth sidessides )()]1()([ 2 1 )( 1 zXyzYzzY +−+= − SubstituteSubstitute y(y(--11)=)=11 andand 3 1 )( 3 1 )( − =               = z z nuZzX n 3 1 5.0)(5.0)( 3 1 ]1)([ 2 1 )( 1 1 − ++= − ++= − − z z zYzzY z z zYzzY 9/12/2013 Mahesh J. vadhavaniya 13
  • 16. Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations … ( ) 5.0)( 5.01 3 15.01 5.0 )( 3 1 5.0)()5.01( 1 1 1 += −      − + − = − +=− − − − zzY zz z z z zY z z zYz ( ) 3 1 2 5.0 3 5.0 5.0 )( 3 1 2 5.0 3 5.0 5.0)( 5.0 3 15.0 5.0)( − − − + − = − − − + − = −      − + − = z z z z z z zY zzzz zY zz z zz zY 9/12/2013 Mahesh J. vadhavaniya 14
  • 17. Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations … ( ) ( ) ( ) ( ) ( ) )(]3125.05.3[)( )(]3125.035.05.0[)( nuny nuny nn nnn −= −+= TakingTaking inverseinverse zz--transform,transform, wewe getget ( ) ( ) )(]3125.05.3[)( nuny nn −= 9/12/2013 Mahesh J. vadhavaniya 15
  • 18. The unilateral z transform is well suited to solving difference equations with initial conditions. For example, y n + 2[ ]− 3 2 y n +1[ ]+ 1 2 y n[ ]= 1/ 4( )n , for n ≥ 0 Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations … Example 2 : 2 2 y 0[ ]= 10 and y 1[ ]= 4 z transforming both sides, z2 Y z( )− y 0[ ]− z−1 y 1[ ]  − 3 2 z Y z( )− y 0[ ]  + 1 2 Y z( ) = z z −1/ 4 the initial conditions are called for systematically. 9/12/2013 Mahesh J. vadhavaniya 16
  • 19. Applying initial conditions and solving, Y z( ) = z 16 / 3 z −1/ 4 + 4 z −1/ 2 + 2 / 3 z −1     and Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations …Solution of Difference Equations … and y n[ ]= 16 3 1 4     n + 4 1 2     n + 2 3      u n[ ] This solution satisfies the difference equation and the initial conditions. 9/12/2013 Mahesh J. vadhavaniya 17
  • 20. 9/12/2013 Mahesh J. Vadhavaniya 20