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.
(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.
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.
Refund Deadline
Refunds only available from November 08, 2024 to January 24, 2025
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