VASAVI COLLEGE OF ENGINEERING (Autonomous), HYDERABAD
B.E. (ECE) VI Semester
Probability Theory and Stochastic Processes (Open Elective - II)
Time: 3 hours Max. Marks: 60
Note: Answer all questions from Part A and Part B.
Part A (10 x 2 = 20 Marks)
- Define probability and write its properties.
- State Bayes’ theorem.
- What are the properties of joint distribution function?
- Define marginal distribution function.
- What is the central limit theorem?
- Write the properties of auto correlation function.
- Define cross-power density spectrum.
- What is the relation between power spectral density and auto correlation?
- Define white noise process.
- Write any two properties of a linear time-invariant system.
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Part B (4 x 10 = 40 Marks)
-
(a) In a bolt factory, machines A, B and C manufacture respectively 25, 35 and 40 percent of the total. Of their output 5, 4, and 2 percent are defective bolts. A bolt is drawn at random from the product and is found to be defective. What are the probabilities that it was manufactured by machines A, B and C?
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OR
(b) The average number of telephone calls / minute coming into a switch board is 2. Determine the probability that one particular minute there will be (i) 3 or fewer calls (ii) more than 3 calls.
-
(a) Define the joint probability density function. Also explain the properties of joint probability density function.
OR
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(b) Two random variables X and Y have joint PDF
fxy(x,y) = k(x+y), 0 = x = 1, 0 = y = 1. Find i) k ii) Marginal densities of X and Y. -
(a) Explain the classification of Random process.
OR
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(b) Consider the random process X(t) = A cos(?t + ?) where A and ? are constants and ? is a uniform random variable over (0, 2p). Find whether the process is WSS or not.
-
(a) The power spectral density of a stationary random process is given by Sxx(?) =
- |?| , |?| < 1
- 0, otherwise
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OR
(b) Find the power spectral density of WSS random process whose auto correlation function is Rxx(t) = Ae-a|t|, where A and a are constants.
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