Detection and Estimation in Communication
This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program. It is available only to students pre-approved by HSSEAS. For more information visit msol.ucla.edu.
About this course:(Formerly numbered Electrical Engineering 230A.) Lecture, four hours; discussion, one hour; outside study, seven hours. Requisite: course 131A. Applications of estimation and detection concepts in communication and signal processing; random signal and noise characterizations by analysis and simulations; mean square (MS) and maximum likelihood (ML) estimations and algorithms; detection under ML, Bayes, and Neyman/Pearson (NP) criteria; signal-to-noise ratio (SNR) and error probability evaluations. Introduction to Monte Carlo simulations.
Winter 2020 Schedule
These courses are fully online, and there are no in-person classroom meetings.
Restricted course. For permission to enroll contact UCLA's MSOL Program: (310) 825-6542 or email@example.com at least 2 weeks before course starts. Visitors not permitted. Restricted course; call (310) 206-6794 for permission to enroll. Web enrollments automatically generate a "Permission to Enroll" request.