Solution for Q1 & 3 of Final Sem1 2010 2011

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  • 8/9/2019 Solution for Q1 & 3 of Final Sem1 2010 2011

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    SOLUTIONS 

    COLLEGE OF ENGINEERING

    PUTRAJAYA CAMPUS

    FINAL EXAMINATION

    SEMESTER I 2010/2011

    PROGRAMME : Bachelor of Electrical & Electronic Engineering /

    Bachelor of Electrical Power Engineering

    SUBJECT CODE : EEEB 363

    SUBJECT : Digital Signal Processing

    DATE : October 2010

    TIME : (3 Hours)

    INSTRUCTIONS TO CANDIDATES:

    1.  This paper contains SIX (6) questions in FOUR (4) pages.

    2.  Answer all questions.

    3. 

    Write all answers in the answer booklet provided.

    4.  Write answer to each question on a new page.

    TH IS QUESTION PAPER CONSISTS OF 4 PRINTED PAGES INCLUDING TH IS

    COVER PAGE. 

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    Digital Signal Processing EEEB363, Semester 1 2010/2011

     ________________________________________________________________________

    Page 2 of 7

    QUESTION 1 [20 marks]

    (a) The impulse response of a LTI discrete-time system is given by h[n]=[1 -2 1 0]

    for 30   n . If the input to this system is given by x[n]=[2 -1 -1 2] for 30   n ,

    determine the output sequence of this system via linear convolution.

    [6 marks]

    (b) Determine even part and odd part of x[n].

    [4 marks]

    (c) Determine the total energy and average power of y[n].

    ]4 marks]

    (d) What is the frequency response of the above system?

    [2 marks]

    (e) 

    Is the above system causal and stable? Explain and give your reasons.[4 marks]

    ANSWER. (a)

    Using Tabular Convolution to get at y[n]:-x[n] 2 -1 -1 2

    h[n] 1 -2 1 0

    2 -1 -1 2

    -4 2 2 -4 0

    2 -1 -1 2

    0 0 0 0y[n] 2 -5 3 3 -5 2 0

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    Digital Signal Processing EEEB363, Semester 1 2010/2011

     ________________________________________________________________________

    Page 3 of 7

    (b) Writing x[n] as train of delayed unit impulses:-

    ],3[2]2[]1[][2][     nnnnn x             

    Even part and odd part of x[n].

    marks][4 

    1] 0.5- 0.5- 0 0.5 0.5 [-1 

    ]3[]2[21]1[

    21]3[]2[

    21]1[

    21 

    ])3[2]2[]1[][2]3[2]2[]1[][2(2

    1][

    ])[][(2

    1][

     1] 0.5- 0.5- 2 0.5- 0.5- [1 

    ]3[]2[2

    1]1[

    2

    1]3[]2[

    2

    1]1[

    2

    1][2 

    ])3[2]2[]1[][2]3[2]2[]1[][2(2

    1][

    ])[][(2

    1][

    nnnnnn

    nnnnnnnnn x

    n xn xn xand 

    nnnnnnn

    nnnnnnnnn x

    n xn xn x

    od 

    od 

    ev

    ev

                

                    

                  

                    

     (c) The total energy and average power of y[n].

    marks][4 

    0P(finite),76ESince

    intervalfiniteoverenergyis|][|Ewhere

     E12

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    1LimP

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    762)5(33)5(2|][|E

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    yK y,

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     K 

     K n

     K  y

     K  y

     K 

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    ,)2()1(2-(n)0] 1 2- 1[][Since

      j  jee

    nnnh

     

    [2 marks]

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    Digital Signal Processing EEEB363, Semester 1 2010/2011

     ________________________________________________________________________

    Page 4 of 7

    (e)  The above system is causal because h[n] is a right hand function.

    The system is stable because summation of h[n] over an infinite duration is finite.

    [4 marks]

    QUESTION 2 [15 marks]

    Consider the system in Figure 2.

     Figure 2The input of the system is

        t t t t  xa      400cos3)100cos(4)(  

    The frequency response of the system is shown in the following figure 3.

      2 

      

      

     2  

       Figure 3: Frequency Response

    If the frequency of the sampling is given as f s=500 samples/second,

    (a) Determine if aliasing occurs. Explain.[4 marks]

    (b) Sketch the spectrums of xa(t), x[n], y[n], and y(t). Make sure you identify the

    important points.

    [6 marks]

    (c) Write the expressions for x[n] and y(t).

    [5 marks]

    QUESTION 3 [15 marks]

    C/D)(t  x

    a ][n x ][n y)(

         je H    D/C)(t  y

    (      je H 1

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    Digital Signal Processing EEEB363, Semester 1 2010/2011

     ________________________________________________________________________

    Page 5 of 7

    (a)  Compute the DFT of a real sequences x[n]={1 1 0 1} using the radix 2, DIT-FFT

    method.

    [6 marks]

    (b)  Compute the inverse DFT of H(k)={2 1-j 0 1+j} using the flow graph of the DIT-

    FFT method arrived in question 3(a) above.

    [5 marks]

    (c)  If the input to the LTI discrete time system in question 3(b) is the real sequence x[n]

    as given in question 3(a), what is the DFT of the output of this system.

    [4 marks]

    ANSWER. 3(a).

    Flow Graph of Radix 2 , 4 Point

    DIT FFT

    04W  1

    0

    4W 

     x[0]=1

     x[1]=1

     x[2]=0

     x[3]=1

    1]0[0    X 

    1]1[0    X 

    2]0[1    X 

    0]1[1    X 

    0

    4W 1

    1

    1

    3]0[    X 

    1]1[    X 

    1]2[    X 

    1]3[    X   jW    14

     

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    Digital Signal Processing EEEB363, Semester 1 2010/2011

     ________________________________________________________________________

    Page 6 of 7

    1)(*01]1[]1[]3[

    1)(*01]1[]1[]1[

    11*21]0[]0[]2[

    31*21]0[]0[]0[

    01*11]3[]1[]1[

    21*11]3[]1[]0[

    11*01]2[]0[]1[

    11*01]2[]0[]0[

    )

    2

    sin()

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    cos(,1

    .0,0

    1,0,12

    4log

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    1

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    24/21

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     jW  X  X  X 

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     j jeeW W 

    r m

    r  N 

    m

     j j     

     

     

     

    3(b)

    ], j-1 0  j1 [2=(k)H

    ], j+1 0  j-1 [2=H(k)

    },[k]W*HX[k] 

    ,}[k]W*H{ N

    1h[n]

    [k].*Xsequenceof  point DFT- NcomputetoalgorithmFFTusecanWe

    ,W][*][

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    ./...............10,W][1

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    -: bygivenIDFT

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    Digital Signal Processing EEEB363, Semester 1 2010/2011

     ________________________________________________________________________

    Page 7 of 7

    Flow Graph of Radix 2 , 4 Point

    DIT FFT

    0

    4W 1

    0

    4W 

     H*[0]=2

     H*[1]=1+j

     H*[2]=0

     H*[3]=1-j

    2]0[0    X 

    2]1[0    X 

    2]0[1    X 

      j X  2]1[1  

    0

    4W 1

    1

    1

    2]0[    X 

    4)(*22]1[     j  j X 

    0]2[    X 

    0)1)((*22]3[     j  j X 

      jW    14

     

    h[n]=X*[k]/N=[2/4 4/4 0 0]=[0.5 1 0 0]

    3(c) Y[k]=DFT x[n] multiply with DFT h[n] where L>=N+M-1=4+4-1=7. This isequivalent to linear convolution for y[n] in the frequency domain.

    Since length of x[n] and h[n] are both equal to 4 (N=M=4), we need to pad zeros to

    them before we can compute DFT of length 8 ( e.g. using FFT radix 2).

    Y[k]=DFT of {1 1 0 1 0 0 0 0}.DFT of {0.5 1 0 0 0 0 0 0}

    For Solution of Question 2, 4, 5, 6 refer to separate files.