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


About this course:

(Instructor: Cabric, D. ) 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. Letter grading.

Contact Us

Our team members are here to help. Hours: Mon-Fri, 8am-5pm
Ready to start
your future?
By signing up, you agree to UCLA Extension’s Privacy Policy.

vector icon of building

Corporate Education

Learn how we can help your organization meet its professional development goals and corporate training needs.

Learn More

vector icon of building

Donate to UCLA Extension

Support our many efforts to reach communities in need.

Innovation Programs

Student Scholarships

Coding Boot Camp

Lifelong Learning