This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Gaussian r.v.'s. Parameter estimation, confidence intervals, hypothesis testing. Introduction to random processes: mean, autocorrelation, power spectral density. Prerequisite: E&CENG 313. Prerequisites: Undergraduate courses in linear systems (such as ECE 313) Textbook : Probability and stochastic processes by Roy D. Yates, and David J. Goodman. ISBN: 047127214, (recommended). Grades: Homework 10% Quizzes 10% Midterm Exam 1 25% Midterm Exam 2 25% Final Exam 30% Topics covered: A. Probability 1. Experiments, Models, and Probabilities 2. Discrete Random Variables 3. Continuous Random Variables 4. Pairs of Random variables 5. Random Vectors 6. Sum of Random Variables B. Statistics 1. Parameter Estmination 2. Hypothesis Testing 3. Estimation of Random Variables C. Stochastic Processes 1. Introduction to stochastic processes...
View
Full
Document
This note was uploaded on 10/27/2011 for the course ECE 314 taught by Professor Idk during the Spring '07 term at UMass (Amherst).
 Spring '07
 idk

Click to edit the document details