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Practice_hw1
School: UT Arlington
Practice Homework # 1 2.32 The combination to a lock is given by three numbers from the set {0, 1, 2,., 59}. Find the number of combinations possible. 2.33 A sixsided die is tossed, a coin is flipped, and a card is selected at random from a deck of

Classnotes_number7
School: UT Arlington
Class Notes 7 EE5302 ENTROPY Entropy is a measure of the uncertainty in a random experiment. The Entropy of a Random Variable Let X be a discrete random variable with to one, and it is high if the probability of Let the uncertainty of the event be Ak = cf

Homework2
School: UT Arlington
HW # 2 EE 5302 Question 1. An intercom system master station provides music to six hospital rooms. The probability that any one room will be switched on and draw power at any time is 0.4. When ON, a room draws 0.5 W. (a) Find and plot the density and

Test_1Fall08_sol
School: UT Arlington
Name: ID: The University of Texas at Arlington Department of Electrical Engineering EE5302 Random Signals and Noise Fall 2008 Instructor: Dr. Venkat Devarajan Test 1 October 1, 2008 9 AM 10:30 AM Notes: This is a closed book, closed notes exam. Y

Practice_hw3
School: UT Arlington
EE5302 Practice Homework 3 Question 1: Let the random variable X have a Laplacian pdf x f X ( x) = e 2 where > 0,  < x < . Suppose that X is input into the eightlevel uniform quantizer of Example 4.27 Find the pmf of the quantizer output l

Sol1
School: UT Arlington

Sol11
School: UT Arlington

Homework3
School: UT Arlington
EE5302 Homework 3 Question 1. Plot the CDF for Y= g(x) and explain the reasoning behind it for the following Figure1. (Slope of the two ramps is 45 degree) Figure 1: Question 2. A particle leaves the origin under the influence of the force of gravit

Formula
School: UT Arlington
1 Reference Formula for EE5302 1. Binomial Random Variable: k SX = {0, 1, 2, , n}; pk = Cn pk (1 p)nk , k = 0, 1, 2 , n; E[X] = np, V AR[X] = np(1 p). 2. Geometric Random Variable (First Version): SX = {0, 1, 2, , }; pk = p(1 p)k , k = 0

Classnotes_number14
School: UT Arlington
CLASS 14 EE5302 Cyclostationary Random Processes Many random processes arise from the repetition of a given procedure every T seconds. For example, a data modulator (modem) produces a waveform every T seconds according to some input data sequence. In anot