Processing math: 100%




MU Electronics and Telecom Engineering (Semester 6)
Discrete Time Signal Processing
December 2014
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary


1 (a) Compare impulse invariant and Bilinear transformation techniques.
5 M
1 (b) A two pole low pass filter has the system function H(z) = \dfrac {b_0}{(1-pz^{-1})^2) Determine the value of b0 and p such that the frequency response H(ω) satisfies the conditions H(0)=1 and |H(π4)|2=12
5 M
1 (c) Explain Multi rate sampling? What are the basic methods? List the advantages of it.
5 M
1 (d) Explain the sub band coding of speech signal as an application of multi rate signal processing.
5 M

2 (a) If the impulse response of a FIR filters has the property h(n)=±;h(N-1-n), find the expression for magnitude response and phase and show that filters will have linear phase response.
10 M
2 (b) An 8 point sequence x(n)={1,2,3,4,5,6,7,8}
i) Find X[k] using DIF-FFT algorithm
ii) Let x1[n]={5,6,7,81,2,3,4} using appropriate DFT property and result of part (i) determine X1[k].
10 M

3 (a) Draw a lattice filter implementation for the all pole filter, H(z)=110.2z1+0.4z2+0.6z3 and determine the number of multiplications, additions and delays required to implement the filter.
10 M
3 (b) Compare minimum phase, maximum phase and mixed system. Determine the zeros of the following FIR systems and indicate whether the system is minimum phase, maximum phase or mixed phase, H(z)=6+z-1=z-2.
10 M

4 (a) Develop DIT-FFT algorithm for decomposing the DFT for N=6 and draw the flow diagrams for (i) N=2×3 (ii) N=3×2
10 M
4 (b) i) Convert the following analog filter system function into digital IIR filter by means of Bilinear transformation. The digital filter should have resonant frequency of ωt=Π/4 Ha(S)=(s+0.1)[(s+0.1)2+9]ii)Fortheanalogtransferfunction\[H(s)=1(s+1)(s+2) Determine H(z) using impulse invariant technique. Assume T=1sec.
10 M

5 (a) The transfer function discrete time causal system is given below. H(z)=(1z1)(10.2z1+0.15z2) i) Find the difference equation.
ii) DF-I and DF-II
iii) Draw Parallel and Cascade realization
iv) Show pole and zero diagram and find magnitude at ω=0 and ω=Π
10 M
5 (b) A filter is to be designed with the following desired frequency response H(eiω)=0;π/4|ω|π/4 =ej2ω;π/4|ω|π Determine the filter coefficient h(n) if the window function is defined as w(n)=1,0n4=0,otherwise Also determine the frequency response H(e) of the designed filter.
10 M

6 (a) Determine H(z) for a digital Butterworth filter that satisfying the following constraints 0.5|Hd(ejω)|1;0ωπ/2  |Hd(ejω)|0.2;3π/4ωπ With T=1 sec. Apply impulse invariant transformation.
10 M
6 (b) i) A sequence is given as x(n)={1+2j, 1+3j, 2+4j, 2+2j}, from the basic definition, find X(k). If x1(n)={1,1,2,2} and x1 and x1(n)={1,1,2,2}. Find X1(k) and X2(k) by using DFT only.
ii) Sequence xp(n) is a periodic repletion of sequence x(n). What is the relationship between Ck of discrete time Fourier series of xp(n) and X(k) of x(n)?
10 M

Write short note on (any three):
7 (a) Adaptive television echo cancellation
7 M
7 (b) Goertzel algorithm
7 M
7 (c) Decimation by integer factor (M) and interpolation by integer factor (L).
7 M
7 (d) Overlap add and overlap save method for long data sequence.
7 M



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