EE
326: Probability and Random Processes
© Fred
Garber, 2009. All
Rights Reserved.
Permission
to copy
and use all EE 326 course material for educational purposes is
granted
to any Wright State University student currently enrolled in EE 326.
Assignments
and other
Handouts:
- HW-1
Chapter 5 # 3, 5, 8 + Run, understand, modify, explore this MatLab script.
- HW-2
Chapter 6 # 2, 3, 4, 21, 24, 25 + Write MatLab code to
compute E(X),
E(X^2), and Var(X) (my scipt).
- HW-3
Chapter 7 # 4, 10, 12, 14, 19; explore and
modify this MatLab script.
- HW-4
Chapter 8 # 2, 3, 6, 12 + The Understanding
Bayes story problems; explore and
modify this MatLab script.
- HW-5
Chapter 10 # 10, 12, 14, 20, 21, 22.
- HW-6
Chapter 11 # 2, 8, 23, 24, 32, 34; explore and
modify this MatLab script and the m-files Phi.m
and plotGauss1D.m .
- HW-7
Chapter 12 # 14, 37, 38, 46, 47, 52, 56; apply the
m-file plotGauss2D.m .
- HW-8
Chapter 13 Explore
and modify this MatLab script (and the
associated plot file)
addressing correlated and white noise.
- HW-9
Chapter 16 # 6, 7, 8, 14.
- HW-10
Chapter 17 # 2, 3, 17, 18, 37, 42, 44.
MatLab
Scripts:
- A MatLab file that simulates discrete random
variables from a list of probabilities and a list of values.
- A MatLab file illustrating Discrete Random
Variables.
- A MatLab file illustrating Moments of
Discrete Random Variables.
- A MatLab file illustrating Joint PMFs and
Moments for Discrete Random Variables.
- A MatLab file illustrating Conditional
PMFs and Moments for Discrete Random Variables.
- A MatLab file working with
continuous PDFs and Moments for Continuous Random Variables.
Revised
2009 by Fred Garber, fred.garber@wright.edu