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Electrical Engineering
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. Co-convened with EE 443. Letter grade only.
Units: 3
Sections offered: Fall 2025
Prerequisite: EE 348 with a grade of C or better
Electrical Engineering
Term : Fall 2025
Catalog Year : 2025-2026
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. Co-convened with EE 443. Letter grade only.
Units: 3
Sections offered: Fall 2025
Prerequisite: EE 348 with a grade of C or better