1(a)
Find whether the following signals are energy or power and find the corresponding value:
x(t)=(1/2)n.u[n]
x(t)=(1/2)n.u[n]
4 M
1(b)
Find the convolution between:
x[n]={1,1,1,1}andh[n]={1,1,1,1}
x[n]={1,1,1,1}andh[n]={1,1,1,1}
4 M
1(c)
Find odd and even components of the signal:
x[n]=u[n]−u[n−4].
x[n]=u[n]−u[n−4].
4 M
2(a)
An analog signal is given by the equation:
x(t)=2sin400πt+10cos1000πt. It is sampled at sampling frequency 1000 Hz.
i) What is the Nyquist rate for the above signal?
ii) What is the Nyquist interval of the signal?
x(t)=2sin400πt+10cos1000πt. It is sampled at sampling frequency 1000 Hz.
i) What is the Nyquist rate for the above signal?
ii) What is the Nyquist interval of the signal?
2 M
2(b)
Find the convolution between:
x(t) = u(t) and h(t) = u(t-2)
x(t) = u(t) and h(t) = u(t-2)
6 M
2(c)
Check whether the following signal is periodic or non-periodic. If periodic, find period of the signal:
x(t)=cos(n/8).cos(nπ/8).
x(t)=cos(n/8).cos(nπ/8).
4 M
Solve any one question fromQ3(a,b) and Q.4(a,b)
3(a)
State and explain the properties of Continuous Time Fourier Series.
6 M
3(b)
Determine the transfer function and impulse response for the system described by the differential equation shown below for zero initial condtitions: d/dt[y(t)]+3y(t)=x(t).
6 M
4(a)
Draw the magnitude and phase spectrum of the signal:
x(t)=5cos(2π10t+30)−10cos(2π20t+60).
x(t)=5cos(2π10t+30)−10cos(2π20t+60).
6 M
4(b)
Find the Fourier transform of the signal:
x(t)=sinωct.u(t).
x(t)=sinωct.u(t).
6 M
Solve any one question fromQ5(a,b) and Q.6(a,b)
5(a)
State and prove convolution property of Laplace transform.
6 M
5(b)
Find the initial and final value of:
X(s)=5s+50/s(s+5).
X(s)=5s+50/s(s+5).
7 M
6(a)
Find the Laplace transform of the given signal and draw its ROC:
X(t)=−eatu(−t).
X(t)=−eatu(−t).
6 M
6(b)
Find the inverse Laplace transform of:
X(s)=3s+7/(s2−2s−3).
X(s)=3s+7/(s2−2s−3).
7 M
Solve any one question fromQ.7(a,b) and Q.8(a,b)
7(a)
List the properties of auto correlation and cross correlation for energy signals.
6 M
7(b)
A perfect die is thrown. Find the probability that:
i) You get even number.
ii) You get a perfect square.
i) You get even number.
ii) You get a perfect square.
7 M
8(a)
List the properties of probability. Explain conditional probability with an example and formula.
6 M
8(b)
A three digit message is transmitted over a noisy channel having a probability of error as P(E) = 2/5 per digit. Find and draw the CDF.
7 M
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