Electrical Engineering
EE 543 - Pattern Recognition
Description: Survey of techniques for identifying patterns present in noisy signal and image data. Includes classifiers, discriminant functions, Bayesian decision theory, maximum likelihood, K-means, relaxation, neural networks, and machine learning. Recommended: A previous course in the fundamentals of signals and systems, including continuous-time and discrete-time signals. Co-convened with EE 443. Letter grade only.
Units:
3
Sections offered:
Fall 2026
Requirement Designation:
Prerequisite: Admission to Electrical and Computer Engineering MS