EC ENGR 230A
Detection and Estimation in Communication
Electrical and Computer Engineering · 4 units · Graduate courses (200-299)
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.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisite: course 131A.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
EC ENGR 230A
- EC ENGR 131AProbability and Statistics
1 direct requisite. Showing 6 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
EC ENGR 230A
- EC ENGR 230BDigital Communication Systems
- EC ENGR 230CSignal Processing in Communications
- EC ENGR 230DAlgorithms and Processing in Communication Systems
3 courses list this as a requisite. The whole downstream is here — 3 courses over 1 level. Every course here opens its own tree.