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  • 7/27/2019 R05(NOV,11,SUP)

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    PROBABILITY THEORY AND STOCHASTIC PROCESSES

    Time: 3 hours Max Marks: 80

    Answer any FIVE Questions

    All Questions carry equal marks

    1. (a) Define and explain following with example

    i. Random Experiment

    ii. Out comeiii. Trial and Event

    (b) A die is tossed. Find the probabilities of the event A = {odd number showsup}, B = { number larger than 3 shous up }, A B and A B. [8+8]

    2. (a) Define cumulative probability distribution function. Discuss distribution func-tion specific properties.

    (b) The random variable X has the discrete variable in the set {-1,-0.5, 0.7, 1.5, 3}the corresponding probabilities are assumed to be {0.1, 0.2, 0.1, 0.4, 0.2}. Plotits distribution function and state is it a discrete or continuous distributionfunction. [8+8]

    3. (a) State and prove properties of variance of a random variable.

    (b) Let X be a random variable defined by the density functionfX(x) = (/16)cos(x/8), 4 x 4

    = 0, elsewhere

    Find E [3X] and E[X2]. [8+8]

    4. (a) Define and explain joint distribution function and joint density function oftwo random variables X and Y.

    (b) If the function f(x, y) = be2xcos(y/2), 0 x 1, 0 y

    = 0, elsewhere

    Where b is a positive constant is valid joint probability density function, findb. [8+8]

    5. (a) Write the expression for expected value of a function of random variables andprove that the mean value of a weighted sum of random variables equals theweighted sum of mean values.

    (b) X is a random variable with mean X = 3, variance 2X

    = 2.

    i. Determine the second moment of X about origin

    ii. Determine the mean of random variable y = where y = -6X +22. [8+8]

    6. Discuss in detail about:

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    II B.Tech I Semester (R05) Supplementary Examinations, November/December 2011

    Code No. : R5210402 R5

    (Common to Electronics & Communication Engineering and Electronics & Computer Engineering)

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    (a) First order stationary random process

    (b) Second order & Wide - Sense Stationary Random Process. [8+8]

    7. (a) A WSS random process X(t) has RXX () = A0

    1 ||

    t

    = 0 else whereFind power density spectrum.

    (b) RXX () =A20

    2sin 0. Find Sxx () [8+8]

    8. (a) Define the following random processes:

    i. Band Pass

    ii. Band limited

    iii. Narrow band.

    (b) A Random process X(t) is applied to a network with impulse response h(t)=u(t) exp (-bt) where b > 0 is constant. The Cross correlation of X(t) withthe output Y(t) is known to have the same form: RXY ( ) = u( ) exp(-bY):

    i. Find the Auto correlation of Y(t)

    ii. What is the average power in Y(t). [6+6+4]

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    Code No. : R5210402R5

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