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This is MATLAB's 10 most easy & most basic programs that I's supposed to submit in my practicals. In this document I've complied 10 MATLAB programs from basic to advanced through intermediate levels, But overall they are for beginners only. It's only a 26 pages doc. for academic purposes. well, What else a student can offer you, huh? LOLz
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SRI SAI INSTITUTE OF ENGG. AND TECHNOLOGY
MATLAB PRACTICAL FILE
DSP ECE - 316
Submitted By:
TABLE OF CONTENTS
Contents
InroductionToMATLAB_____________________________________________________________________1
ProgramForImpulseFunction_____________________________________________________________4
ProgramForUnitStepFunction____________________________________________________________6
ProgramForUnitRampFunction__________________________________________________________8
ProgramForExponentialFunction______________________________________________________10
ProgramForRealValueFunction________________________________________________________16
ProgramForShiftingFunction____________________________________________________________14
ProgramForAdditionFunction___________________________________________________________16
ProgramForMultiplicationFunction____________________________________________________18
ProgramForConvolutionFunction______________________________________________________20
ProgramForFoldingFunction____________________________________________________________23
1
WHATISMATLAB?“ANINTRODUCTION”
• ItstandsforMATrixLAbORATORY
• ItisdevelopedbyTheMathworksInc.
• Itisaninteractive,integrated,environment
• Fornumericalcomputations
• Forsymboliccomputations
• Forscientificvisualizations
• Itisahighlevelprogramminglanguage
• Programrunsininterpreted,asopposedtocompiled,mode
• MATLAB is a high level technical computing language and interactive environment for
algorithmdevelopment,datavisualization,dataanalysisandnumericcomputation. Usingthe MATLAB product, you can solve technical computing problems faster than the
traditionalprogramminglanguagessuchasC,C++andFORTRAN.
• YoucanuseMATLABinawiderangeofapplications,includingsignalandimageprocessing,communication,controldesign,testandmeasurement,financialmodelingandanalysis,and
computationalbiology.Addontoolboxes(collectionofspecialpurposeMATLABfunctions,available separately) extend the MATLAB environment to solve particular classes of
problemsintheseapplicationareas.
• MATLABprovidesanumberof features fordocumentingandsharingyourwork.Youcanintegrate yourMATLAB codewith other languages and applications, and distribute your
MATLABalgorithmsandapplications.
2
Characterstics Of MATLAB:
• ProgrammingLanguageBased(principally)OnMatrices.
• SlowcomparedwithFORTRANorCbecauseitisaninterpretedlanguage,i.enotpre‐compiled.Avoidforloops,insteadusevectorformwheneverpossible.
• Automaticmemorymanagement,i.eyoudon’thavetodeclarearraysinadvance.
• Intuitive,easytouse.
• Compact(arrayhandlingisFortran90‐like).
• ShorterprogramdevelopmenttimethantraditionalprogramminglanguagessuchasFORTRANandC.
• CanbeconvertedintoCcodeviaMATLABcompilerforbetterefficiency.
• Manyapplications‐specifictoolboxesavailable.
• CoupledwithMapleforsymboliccomputations.
• Onshared‐memoryparallelcomputerssuchastheSGIOrigin2000,certainoperations
processedinparallelautonomouslywhencomputationloadwarrants.
KEY FEATURES:-
• Highlevellanguagefortechnicalcomputing.
• Developmentenvironmentformanagingcode,files,anddata.
• Interactivetoolsforiterativeexploration,designandproblemsolving.
• Mathematicalfunctionsforlinearalgebra,statistics,Fourieranalysis,filtering,optimization,andnumericalintegration
• 2‐Dand3‐Dgraphicalfunctionsforvisualizingdata.
• Toolsforbuildingcustomgraphicaluserinterfaces.
• FunctionsforintegratingMATLABbasedalgorithmwithexternalapplicationandlanguages,
suchasC,C++,FORTRAN,Java,andMicrosoftExcel.
3
EXAMPLES:-
• Matrixcomputationandlinearalgebra.
• Solvingnonlinearequation.
• Numericalsolutionofdifferentialequation.
• Mathematicaloptimization.
• Statisticalanddataanalysis.
• SignalProcessing.
• Modelingofdynamicalsystems.
• Solvingpartialdifferentialequation.
• SimulationofEngg.Systems.
USESINENGG.COMPANIES:‐
• Numericalanalysis
• Signalandsystem.
• Modelingofdynamicalsystems.
• Automaticcontrol.
BASICCOURSES:‐
• Automaticcontroladvancedcourse.
• Hybridandembedded.
• Controlsystem.
• Chemicalprocesscontrol.
• Controlprocesscontrol.
• Signaltheory.
• Digitalsignalprocessing.
• Adaptivesignalprocessing.
• Signalprocessingproject.
• Communicationtheory.
• Advancecommunicationtheory.
4
Program - 1
To Develop Elementary Signal For Impulse Function
Program:
a=[‐2;1;2]
b=[zeros(1,2),ones(1,1),zeros(1,2)]
stem(a,b)
xlabel(‘a‐‐‐‐>’)
ylabel(‘amp‐‐‐>’)
Result:
a= ‐2 ‐1 0 1 2
b= 0 0 1 0 0
5
Graph For Impulse Function:
6
Program - 2
To Develop Elementary Signal For Unit Step Function
Program:
n=input(’enter the value of n’)
a=[1:1:n]
b=[ones,n]
subplotes
stem(a,b)
xlabel(‘n…..>’)
ylabel(‘amplitude’)
Result of unit step function:
Enter the value of n
n=5
a=0 1 2 3 4
b= 1 1 1 1 1
7
Graph For Unit Step Function:
8
Program - 3
To Develop Elementary Signal For Unit Ramp Function
Program:
a=[2:1:8]
b=[0;1;6]
subplot
stem(a,b)
xlabel(‘n.’)
ylabel(‘amp….’)
Result of unit ramp function:
a=2 3 4 5 6 7 8
b= 0 1 2 3 4 5 6
9
Graph For Unit Ramp Function:
10
Program - 4
To Develop Exponential Function Of (Given) Sequence
Program:
n=input(‘enter the value of n’)
a=input(‘enter the value of a’)
t=[0:1:n]
y=exp(a*t)
subplot
stem(t,y)
xlabel(‘a’)
ylabel(‘n’)
Result of exponential: Enter the value of n10
n= 10
enter the value of a0.5
a= 0.5000
t=0 1 2 3 4 5 6 7 8 9 10
y=columns 1 through 10
1.0000 1.6487 2.7183 4.4817 7.3891 12.1825 20.0855 33.1155 54.5982 90.0171
Column11
148.4132
11
Graph For Exponential Function:
12
Program - 5
To Develop Elementary Signal For Real Value
Program:
n=[0,1,2,3,4,5]
a=[0.5]
y=a.^n
subplot
stem(n,y)
xlabel(‘n…..’)
ylabel(‘a’)
Result of Real Value No.:
n= 0 1 2 3 4 5
a= 0.5000
y = 1.0000 0.5000 0.2500 0.1250 0.0625 0.0313
13
Graph For Real Value Function:
14
Program - 6
To Develop Elementary Signal For Shifting Program:
a=[‐3:1:3]
b=[1.2.3.2.1.1.2]
subplot(3,1,1)
stem(a,b)
xlabel(‘n‐‐‐‐>’)
ylabel(‘amp‐‐‐>’)
a=‐a
subplot(3,1,2)
stem(a,b)
xlabel(‘n‐‐‐‐>’)
ylabel(‘amp‐‐‐>’)
Result:
a = ‐3 ‐2 ‐1 0 1 2 3
b = 1 2 3 2 1 1 2
a = 3 2 1 0 ‐1 ‐2 ‐3
15
Graph For Shifting Function:
16
Program - 7
To Develop Elementary Signal For Addition Of Two Sequences
Program:
n=[‐3:1:3] b=[2,3,0,1,3,2,1] subplot(5,1,1) stem(n,b) xlabel('n….>') ylabel('amplitude') title('input of signal b') a=[3,4,5,6,7,8,9] subplot(5,1,3) stem(n,b) ylabel('amplitude') title('input of signal a') z=b+a subplot(5,1,5) stem(n,a) xlabel('n….>') ylabel('amplitude') title('addition of two signal is z(n)')
Result of Addition:
2 3 0 1 3 2 1
a = 3 4 5 6 7 8 9
z = 5 7 5 7 10 10 10
17
Graph For Addition Function:
18
Program - 8
To Develop Elementary Signal For Multiplication Of Two Sequences
Program:
n=[‐2:1:3] x=[1,2,3,4,5,6] subplot(3,1,1) stem(n,x) xlabel('n‐‐‐‐>') ylabel('amp‐‐‐>') y=[2] z=(x*y) subplot(3,1,2) stem(n,z) xlabel('n‐‐‐‐>') ylabel('amp‐‐‐>')
Result:
n = ‐2 ‐1 0 1 2 3
x = 1 2 3 4 5 6
y = 2
z = 2 4 6 8 10 12
19
Graph For Multiplication Function:
20
Program - 9
To Develop The Elementary Signal For Convolution Of Two Sequences
Program:
X=input(‘enter the value of x’)
h=input(‘enter the value of h’)
y=conv(x,h)
subplot(3,1,1)
stem(x)
xlabel(‘n….>’)
ylabel(‘amplitude….>’)
subplot(3,1,2)
stem(h)
xlabel(‘n….>’)
ylabel(‘amplitude….>’)
subplot(3,1,3)
stem(y)
xlabel(‘n….>’)
ylabel(‘amplitude….>’)
21
Result of convolution:
Enter the sequence of x[1,2]
X=1 2
Enter the sequence of h[1,2,3,4]
h = 1 2 3 4
y = 1 4 7 10 8
22
Graph For Convolution Function:
23
Program - 10
To Develop Elementary Signal For Folding
Program:
a=[‐3:1:3]
b=[1,2,3,2,1,1,2]
subplot(3,1,1)
stem(a,b)
xlabel(‘n….. >’)
ylabel(‘amp…..>’)
a= ‐a
subplot(3,1,2)
stem(a,b)
xlabel(‘n…..>’)
ylabel(‘amp…..>’)
Result of Folding:
a= ‐3 ‐2 ‐1 0 1 2 3
b= 1 2 3 2 1 1 2
a= 3 2 1 0 ‐1 ‐2 ‐3
24
Graph For Folding Function:
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