ECE
Matlab assignment4b -dsingh

# Matlab assignment4b -dsingh - Singh Daljit ECE 315...

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Singh, Daljit ECE 315 Matlab #4b Random Process #1

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0 2 4 6 8 10 12 14 -1 -0.5 0 0.5 1 Time A Continuous Random Process y1 y2 y3 y4 RV average #2 0 2 4 6 8 10 12 14 -0.5 0 0.5 Mean of the Random Variable Time
0 2 4 6 8 10 12 14 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 Mean of the Random Variable Time The difference I noticed was in the Y axis 0 2 4 6 8 10 12 14 -4 -2 0 2 4 6 8 x 10 -16 Mean of the Random Variable Time Non stationary in the mean is what I noticed.

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Time Average #3 Mean is constant. RV Autocorrelation #4 0 100 200 300 400 500 600 700 -2 -1 0 1 2 Autocorrelation of a Random Variable Delay
0 100 200 300 400 500 600 700 -2 -1 0 1 2 Autocorrelation of a Random Variable Delay The process is wide sense stationary and it is independent. Time Autocorrelation #5 0 100 200 300 400 500 600 700 -3 -2 -1 0 1 2 3 Time Autocorrelation Delay I noticed it is stationary at level 2, and ergodic at level 1.

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Random Process #6,#2 0 10 20 30 40

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Unformatted text preview: 50 1 1.5 2 2.5 3 time A Continuous Random Process 1.2 1.5 3.0 2.4 10 20 30 40 50 2 2.5 3 3.5 4 4.5 time Average of the Random Variable The process is stationary because the mean is constant at any given time. 10 20 30 40 50 378 378.5 379 379.5 380 Delay The Autocorrelation of the Random Variable I noticed that it is not independent. Time Average #7 10 20 30 40 50 0.5 1 1.5 2 2.5 Time Average of a Time Function The mean of the Random Variable equals the mean at any of the time functions of the Random Process. The mean is stationary at level 1. 5 10 15 20 25 30 2 4 6 8 A Discrete Random Process Time The Mean of the Random Variable is Constant....
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• Spring '08
• Clark
• Probability theory, Stochastic process, Harshad number, Autocorrelation, Stationary process

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