Dr. Gregory Bottomley
Electrical and Computer Engineering
ECE 514 Random Processes
3 Credit Hours
Probabilistic descriptions of signals and noise, including joint, marginal and conditional densities, autocorrelation, cross-correlation and power spectral density. Linear and nonlinear transformations. Linear least-squares estimation. Signal detection.
Introduction to Probability and Distribution Theory (NC State ST 371); Signals and Linear Systems (impulse response, Fourier transform); Linear Algebra (matrices, determinants, vectors); Calculus (integration, differentiation)
This course will acquaint students with the basic elements of probability theory, random variables, and random processes. The material covered will provide students the ability to comfortably read a research paper and conduct studies where uncertainty prevails and/or can/should be modeled.
HOMEWORK: weekly homework assignments plus a mini project involving software development
EXAMINATIONS: 1 – 2 tests during the semester plus a final
Probability and Random Processes for Electrical and Computer Engineers – (first edition), 2006, by John A. Gubner, ISBN: 978-0-521-86470-1
Computer and Software Requirements
SOFTWARE: Access to a computer with Matlab, which is a free download for NCSU Engineering students. See: https://software.ncsu.edu/
Please review minimum computer specifications recommended by NC State University and Engineering Online.