ECE 384: Random Signals & Noise - spring
Prerequisite: ECE 320; for CPE/ECE majors only
General Education requirement: Natural Science Technology
Concepts of probability and statistics as they apply to random signals and their effect on system analysis and design. Topics covered include basic probability, random variables, probability density and distribution functions, joint distributions, conditional distributions, functions of a random variable, mean, variance, covariance, characteristic functions, random processes, correlation functions, power spectral density, linear systems, linear filters, systems that maximize signal-to-noise ratio, and selected applications and designs from communication theory, sonar and radar, and control theory.
| 2024 Spring | ||||||||
|---|---|---|---|---|---|---|---|---|
| Class# | Sct | Type | Seats | Units | ||||
| 10978 | 01 | Lecture | 48 | 3.00 | ||||
| Days | Start | End | Location | |||||
| MON TUE WED THU FRI SAT | 2:00 PM EDT | 3:15 PM EDT | Science & Engr 212 | |||||
| Instructor: Paul Gendron | Class status: O | |||||||
| Prerequisite: ECE 320; for CPE/ECE majors only | ||||||||
| Enrollment Section | ||||||||
| Class instruction mode: In Person | ||||||||