Credits: 3


Prerequisite: ENEE620 and ENEE630.
Adaptive learning and statistical signal processing, including: numerical analysis; principal component analysis and support vector machines; adaptive signal processing (supervised learning); blind equalization and identification (unsupervised learning); antenna array and MIMO signal processing; space-time and space-time-frequency coding; neural networks (nonlinear adaptive learning); advanced topics on machine learning, such as online and deep learning.

Semesters Offered

Spring 2019, Spring 2021, Fall 2023