Homework Assignment for ECE 534 Spring 2008, Assignments of Electrical and Electronics Engineering

The homework assignment for the ece 534 course in spring 2008, including a list of problems related to chapter 5 of the course textbook and some bonus problems from previous exams. The assignment is due on april 16, 2008, and students are allowed to bring two sheets of notes to the exam.

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ECE 534 Spring 2008
April 3, 2008
Homework Assignment 5
Due Date: Wednesday, April 16 (in class)
Reading: Chapter 5 of text, Sections 5.1-5.4. Also read the solutions to the even numbered problems
of Chapter 5 given at the end of the book.
Note: Exam 2 will held on April 16, from 7-8:30 PM in room 165 Everitt Lab. You will be allowed
two sheets of notes (8.5”x11”, both sides).
1. Problem 5.1.
2. Problem 5.5.
3. Problem 5.7. Hint: Exploit the continuity of RX(t,s) on T×Tto show that EYt+Yt
Xt2
goes to zero as 0.
4. Problem 5.11.
5. Problem 5.15
6. Problem 5.17. Hint: Look at Example 5.4.
7. (From Exam 2, Spring ’06) Let {Xt}be a continuous-time, zero-mean Gaussian random process
with autocorrelation function
RX(t, s) = 2ts +t2s2
(a) Does the random process defined by Yt=X0
texist in a mean square sense? Clearly explain
your answer.
(b) Find the mean and autocorrelation functions of {Yt}. Do these functions completely specify
all finite-order distributions of {Yt}? Clearly explain your answer.
8. (From Exam 2, Spring ’06): Let {Xk}be a discrete-time stationary zero-mean Gaussian process
with autocorrelation function RX(k) = α|k|, where αis a constant with |α|<1. Further, let A
be a Gaussian random variable with mean zero and variance 1 and independent of X. Determine
whether or not each of the following processes is mean ergodic in the mean square sense:
(a) Yk=Xk+A.
(b) Zk=AXk.
c
V. V. Veeravalli, 2008 1

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ECE 534 Spring 2008

April 3, 2008

Homework Assignment 5

Due Date: Wednesday, April 16 (in class)

Reading: Chapter 5 of text, Sections 5.1-5.4. Also read the solutions to the even numbered problems of Chapter 5 given at the end of the book.

Note: Exam 2 will held on April 16, from 7-8:30 PM in room 165 Everitt Lab. You will be allowed two sheets of notes (8.5”x11”, both sides).

  1. Problem 5.1.
  2. Problem 5.5.
  3. Problem 5.7. Hint: Exploit the continuity of RX (t, s) on T × T to show that E

[(

Yt+−Yt  −^ Xt

) 2 ]

goes to zero as  → 0.

  1. Problem 5.11.
  2. Problem 5.
  3. Problem 5.17. Hint: Look at Example 5.4.
  4. (From Exam 2, Spring ’06) Let {Xt} be a continuous-time, zero-mean Gaussian random process with autocorrelation function RX (t, s) = 2ts + t^2 s^2

(a) Does the random process defined by Yt = X t′ exist in a mean square sense? Clearly explain your answer. (b) Find the mean and autocorrelation functions of {Yt}. Do these functions completely specify all finite-order distributions of {Yt}? Clearly explain your answer.

  1. (From Exam 2, Spring ’06): Let {Xk} be a discrete-time stationary zero-mean Gaussian process with autocorrelation function RX (k) = α|k|, where α is a constant with |α| < 1. Further, let A be a Gaussian random variable with mean zero and variance 1 and independent of X. Determine whether or not each of the following processes is mean ergodic in the mean square sense:

(a) Yk = Xk + A. (b) Zk = AXk.

© cV. V. Veeravalli, 2008 1