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    Copyright Monash University 2009

    Signal

    ProcessingFirst

    Lecture1

    Sinusoids

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    Copyright Monash University 2009

    READING ASSIGNMENTS ThisLecture:

    Chapter2,

    pp.

    917

    AppendixA:

    Complex

    Numbers

    AppendixB:MATLAB

    Chapter1:Introduction

    2

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    CONVERGING FIELDS

    3

    EECmpE

    Math

    Applications

    Physics

    Computer

    Science

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    Copyright Monash University 2009

    COURSE OBJECTIVE Studentswillbeableto:

    Understandmathematical descriptions

    of

    signalprocessingalgorithms andexpress

    those

    algorithms

    as

    computer

    implementations (MATLAB)

    Whatareyourobjectives?

    4

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    WHY USE DSP ? Mathematicalabstractions leadto

    generalizationand

    discovery

    of

    new

    processingtechniques

    Computerimplementationsareflexible

    Applicationsprovideaphysical context

    5

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    Copyright Monash University 2009

    Fourier Everywhere Telecommunications

    Sound&Music

    CDROM,Digital

    Video

    FourierOptics

    XrayCrystallography

    ProteinStructure

    &

    DNA

    ComputerizedTomography

    MagneticResonanceImaging:MRI

    Radioastronomy MechanicalEngineering Ref:Prestini,TheEvolutionofAppliedHarmonicAnalysis

    6

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    LECTURE OBJECTIVES Writegeneralformulaforasinusoidal

    waveform,or

    signal

    Fromtheformula,plotthesinusoidversus

    time

    Whatsasignal?

    Itsafunction of

    time,

    x(t)

    or

    s(t)

    inthemathematicalsense

    7

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    TUNING FORK EXAMPLE CDROMdemo

    Ais

    at

    440

    Hertz

    (Hz)

    WaveformisaSINUSOIDALSIGNAL

    Computerplot

    looks

    like

    asine

    wave

    Thisshouldbethemathematicalformula:

    8

    ))440(2cos( tA

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    Copyright Monash University 2009

    TUNING FORK A-440 Waveform

    9

    ms3.2

    85.515.8

    T

    Hz435

    3.2/1000

    /1

    Tf

    Time (sec)

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    SPEECH EXAMPLE Morecomplicatedsignal(BAT.WAV)

    Waveformx(t) is

    NOT

    aSinusoid

    Theorywilltellus

    x(t) is

    approximately

    asum

    of

    sinusoids

    FOURIERANALYSIS

    Breakx(t) intoitssinusoidalcomponents

    Calledthe

    FREQUENCY

    SPECTRUM

    10

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    Speech Signal: BAT

    Nearly

    Periodic in

    Vowel

    RegionPeriodis(Approximately)T=0.0065sec

    11

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    DIGITIZE the WAVEFORM x[n] isaSAMPLEDSINUSOID

    Alist

    of

    numbers

    stored

    in

    memory

    Sampleat11,025samplespersecond

    Called

    the

    SAMPLING

    RATE

    of

    the

    A/DTimebetweensamplesis

    1/11025=90.7microsec

    Outputvia

    D/A

    hardware

    (at

    Fsamp)

    12

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    Copyright Monash University 2009

    STORING DIGITAL SOUND x[n] isaSAMPLEDSINUSOID

    Alist

    of

    numbers

    stored

    in

    memory

    CDrateis44,100samplespersecond

    16bit

    samples

    Stereouses2channels

    Numberofbytesfor1minuteis

    2X(16/8)X60X44100=10.584Mbytes

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    SINES and COSINES AlwaysusetheCOSINEFORM

    Sineisaspecialcase:

    14

    ))440(2cos( tA

    )cos()sin(2

    tt

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    SINUSOIDAL SIGNAL

    FREQUENCY

    Radians/sec

    Hertz(cycles/sec)

    PERIOD (in

    sec)

    AMPLITUDE

    Magnitude

    PHASE

    15

    A tcos( )

    ( )2 f

    Tf

    1 2

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    EXAMPLE of SINUSOID GiventheFormula

    Makeaplot

    16

    )2.13.0cos(5 t

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    Copyright Monash University 2009

    PLOT COSINE SIGNAL

    FormuladefinesA,,and

    17

    5 0 3 12cos( . . ) t

    A 5

    0.3

    1.2

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    PLOTTING COSINE SIGNAL from

    the FORMULA

    Determine period:

    Determineapeak locationbysolving

    Zero crossingisT/4beforeorafter

    Positive&NegativepeaksspacedbyT/218

    )2.13.0cos(5 t

    3/203.0/2/2 T

    0)2.13.0(0)( tt

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    PLOT the SINUSOID

    UseT=20/3andthepeaklocationatt=4

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    )2.13.0cos(5 t

    320

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    TRIG FUNCTIONS CircularFunctions

    CommonValues

    sin(k)=0

    cos(0)=1

    cos(2k)=1andcos((2k+1) )=1

    cos((k+0.5)

    )=0

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