z transform and it's applications

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  • 8/11/2019 Z Transform and It's Applications

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    Chapter 4

    Z Transform

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    Analog signal is sampled at every T sec with an ON period of t

    Definition

    Since s = +j, and a system become stable for 0,z =esT= e(+j)T= eT ej

    So, the magnitude of z is eT and the angle is

    Hence in terms of z-transform the system will be stable for |z| 1

    n

    tnTtnxtx )()()(

    n

    snT

    n

    snT enxtdttenTtnxsX )()()()(0

    sTez

    )()()( ztXznxtsXn

    n

    n

    nznxzX )()(

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    Elementary signals

    Unit step function 01)( nnx

    1;11

    1.............11)(

    1

    21

    0

    zz

    z

    zzzzzX

    n

    n

    Power function 0)( nanx n

    azaz

    zaz

    zaazzazX nn

    n

    ;

    11...........1)( 1

    221

    0

    Ramp function 0)( nnnx

    1||;)1()1(

    .........320)(221

    1321

    0

    z

    z

    z

    z

    zzzzznzX n

    n

    The values ofz for whichX(z)is finite are known as region of

    convergence (ROC)

    Try other signals: impulse function, .

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    Significance of ROC

    For causal sequence

    azaz

    zaz

    zazazX n

    n

    n

    n

    n

    ;1

    1)()(1

    1

    00

    000)( nforandnforanx n

    For Anti causal

    sequence

    000)( nforaandnfornx n

    azaz

    zzazazX n

    n

    n

    n

    n

    ;)()(

    1 11

    The two sequences have sameX(z)but their ROC is different. Without ROC we can

    not uniquely determine the sequencex(n). Generally, for causal sequence, the ROCis exterior of the circle having radius a and for anti causal sequence it is interior of

    the circle.

    FindX(z)and ROC for x(n) = nu(n) + nu(-n-1)

    Answer

    zROCzzzX :)( 1

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    Properties

    )()()(

    )()()()()()( 2211221

    zHzXzY

    zXzknxzXazXanxanax

    k

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    LTI System

    )(......)1()()(......)1()(1010

    MnxbnxbnxbNnyanyanyaMN

    N

    N

    M

    M

    zazaa

    zbzbb

    zX

    zYzH

    ..........

    ..........

    )(

    )()(

    1

    10

    1

    10

    N

    NN

    M

    MMMN

    azaza

    bzbzbz

    ..........

    ..........1

    10

    1

    10

    kN

    k

    k

    M

    k

    k

    k

    za

    zb

    zH

    0

    0)(

    )(......)()()(......)()( 1

    10

    1

    10 zXzbzXzbzXbzYzazYzazYa M

    M

    N

    N

    )(]......[)(]......[ 1101

    10 zXzbzbbzYzazaa M

    M

    N

    N

    ).().........)((

    ).().........)((

    21

    21

    N

    MMN

    pzpzpz

    zzzzzzz

    z1, z2, . . . zM zeros

    p1, p2, . . . pN poles

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    LTI System Stability

    LTI DT causal system is BIBO stable provided that all poles of

    the system transfer function lie inside the unit circle in Z-plane

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    Inverse z-transform

    Values of x(n) are the coefficients of z-nand can be obtained by direct inspection of

    X(z). Normally X(z) is often expressed as a ratio of two polynomials in z-1or in z

    ..........)2()1()0()()( 21

    0

    zxzxxznxzXn

    n

    MM

    NN

    zbzbb

    zazaazX

    _110

    1

    10

    ............

    ...........)(

    Three Methods

    Power series expansion method

    Partial fraction expansion methodResidue method / Contour integration

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    IZT: Partial Fraction Expansion Method

    M < NProper

    rational function

    M NImproperrational function

    1,...........1

    ............

    )(

    )()( 01

    1

    1

    10

    azaza

    zbzbb

    zD

    zNzH

    N

    N

    M

    M

    N

    N

    pz

    A

    pz

    A

    pz

    A

    z

    zH

    ..............

    )(

    2

    2

    1

    1Let all poles are

    distinct

    Nkz

    zHpzAKpz

    KK ..........3,2,1,

    )()(

    21 5.05.11

    1)(

    zzz

    )(})5.0()1(2{)(

    5.0

    1

    1

    2)(

    1)5.0)(1(

    )5.0(2

    )5.0)(1(

    )1(

    5.01)5.0)(1(

    )(

    5.

    2

    1

    1

    21

    nunh

    zzz

    zH

    zz

    zzA

    zz

    zzA

    z

    A

    z

    A

    zz

    z

    z

    zH

    nn

    zz

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    IZT: Multiple-order poles

    2

    2

    211 )1)(1(

    )(

    )1)(1(

    1)(

    zz

    z

    z

    zH

    zzzH

    )1..(....................)1(11)1)(1(

    )( 2321

    2

    2

    zA

    zA

    zA

    zzz

    zzH

    4

    1)()1(

    1

    1 zz

    zHzA

    2

    1)()1(

    1

    2

    3 zz

    zHzA

    )2(....................)1()1(

    )1()()1( 321

    22 AAzA

    z

    z

    z

    zHz

    4

    3

    1

    )()1(

    1

    2

    1

    2

    2

    zz z

    z

    dz

    d

    z

    zHz

    dz

    dATo find A2, differentiate (2)

    with respect to z and put z=1

    2)1(2

    1

    14

    3

    14

    1)(

    z

    z

    z

    z

    z

    zzH

    )(

    2

    1)1(

    4

    3)1(

    4

    1)( nunnh nn

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    Thank you