ELEG 310 - Random Signals and Noise (3cr.)

Credit(s): 3

RANDOM SIGNALS AND NOISE
Component: Lecture
Introduction to probability and estimation as applied to random signals and noise. Includes random variables, densities, distributions, random processes, spectral representations and statistics.
Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Spring

General Education Objectives:
Analyze Arguments and Information Reason QuantitativelyReason Computationally Reason Scientifically