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) Determine the fundamental period of the following signals. x(t)=14+40cos(60πt)ii)x[n]=cos2[π4n]
4 M
1 (b) Compare the nature of ROC of Z transform and Laplace transform.
4 M
1 (c) For the given system, determine whether it is,
i) memory less
ii) causal
linear
iv) time-invariant.
y[n] = x[-n].
4 M
1 (d) "Find out even and odd component of the following two signals. i) x(t)=cos2πt2ii)x(t)={t0t12t1<22"
4 M
1 (e) Determine whether the signals are power or energy signals. Calculate energy / power accordingly.
i) x(t)=Ae-αtu(t)........... α>0.
ii) x[n]=u[n].
4 M

2 (a) Expand the periodic gate function as shown in the figure by the exponential Fourier Series. Also plot the Fourier spectrum (Magnitude and phase spectrum).

10 M
2 (b) Find the inverse Laplace Transform of the following: i) X(S)=s3s2+4s+13ii) X(S)=5s21511(s+1)(s2)3
10 M

3 (a) Obtain inverse Laplace transform of the function X(s)=3S+7s22s3 Write down and sketch possible ROCs. Find out inverse Laplace for all the possible ROCs.
10 M
3 (b) Using the z transform method, solve the difference equation
y[n]-4y[n-1]+4y[n-2]=x[n]-x[n-1]
When y(-1)=y(-2)=0.
10 M

4 (a) Explain Gibbs phenomenon. Also explain conditions necessary for the convergence of Fourier Series.
5 M
4 (b) Find out Fourier Transform of f(t)=10 δ(t-2). Sketch its amplitude and phase spectrum.
5 M
4 (c) Perform convolution of
i) 2u(t) with u(t)
ii) e-2t u(t) with e-5t u(t)
iii) tu(t) with e-5t u(t).
10 M

5 (a) Convolve x[n]=(13)nu[n] with h[n]=(12)nu[n] using Fourier transform.
10 M
5 (b) A system is described by the following difference equation. y[n]=34y[n1]18y[n2]+x[n] Determine the following.
i) The system Transfer function H(2)
ii) Impulse response of the system h[n]
iii) Step response of the system s[n].
10 M

6 (a) A discrete time signal is given by x[n]={,11,1,1,2} . Sketch the following signals.
i) x[n]
ii) x[n-2]
iii) x[n] ⋅ u[n-1]
iv) x[3-n]
v) x[n-1]⋅δ[n-1]
10 M
6 (b) For the periodic signal x[n] given below, find out Fourier series coefficient. x[n]=1+sin(2πN)n+3cos(2πN)n+cos(4πN+π2).
10 M



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