ENEE634

Learning and Statistical Signal Processing

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.

Fall 2023

9 reviews
Average rating: 1.56

Spring 2023

9 reviews
Average rating: 1.56

Past Semesters

2 reviews
Average rating: 2.00

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.