Detection and Estimation in Communication
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.
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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.
Winter 2026 Schedule
Restricted course.
1. Please contact the Master of Science Online (MSOL) program at admissions@seas.ucla.edu or (310) 825-6542 for approval.
2. Once approved, you may submit a petition to enroll (PTE) request through this website. Click "add to cart" to apply for enrollment.