MU Electronics and Telecom Engineering (Semester 5)
Random Signal Analysis
May 2013
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) State the Chebychev?s inequality and explain.
5 M
1 (b) What do you mean by steady state distribution of Markov chain.
5 M
1 (c) Suppose X and Y are two random variables when do you say that X and Y are
a) Orthogonal
b) Uncorrelated
5 M
1 (d) What is the difference between a Random variable and a Random process?
5 M
1 (e) State and explain Baye's theorem.
5 M

2 (a) A certain test for a particular cancer is known to be 95% accurate. A person submits to the test and the results are positive. Suppose that the person comes from a population of 1,00,000(one lakh) where 2000 people suffer from that disease , what can we conclude about the probability that the person under test has that particular cancer?
10 M
2 (b) Explain with suitable examples Continuous, Discrete and Mixed type random variable.
10 M

3 (a) Explain the concept of conditional probability and the properties of conditional probability.
10 M
3 (b) Suppose that 3 balls are randomly selected from an urn containing 3 red, 4 white and 5 blue balls. If we let X and Y denote respectively the number of red and white balls chosen.
Find :-
(i) The joint probability distribution of (X,Y)
ii) Probability mass function of X
(iii) Probability mass function of Y
10 M

4 (a) \[ Suppose \ f_X(X)=\dfrac {2X}{\pi^2}, 0<X< \pi \ and \ y=\sin x \ Determine \ f_y(y) \]
10 M
4 (b) Compare PDF of Binomials and Poison Random variable. A spacecraft has 1,00,000 components. The probability of any one component being defective is 2×10-5. The mission will be in danger if five or more components become defective. Find a probability of such an event.
10 M

5 (a) Define Central limit theorem and give its significance
5 M
5 (b) Describe the sequence of random variables.
5 M
5 (c) State and prove Chapman-Kolmogorov equation.
10 M

6 (a) Explain what do you mean by?
(i)Deterministic system
(ii) Stochastic system
(iii) Memory-less system.
Prove that if input to memory-less system is strict sense stationary(SSS) process x(t), the output y(t) is also SSS.
10 M
6 (b) If a random process is given by x(t)=100cos(100t+ θ) where θ is uniformly distributed over (-π,π) , prove that {x(t)} is correlation ergodic.
10 M

7 (a) Explain power spectral density function. State its important properties and prove any one of the property.
10 M
7 (b) Consider a random process x(t) that assumes the values=±1. Suppose that x(t)= ±1 with probability 1/2 and suppose that x(t) then changes polarity with each occurrence of an event in a poison process of rate α. Find the mean, variance and Auto-Covariance of x(t).
10 M



More question papers from Random Signal Analysis
SPONSORED ADVERTISEMENTS