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ENEE 634 - Learning and Statistical Signal Processing

Description
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.
Credits
3
Recent Professors
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Recent Semesters
Spring 2021, Spring 2019
Offered
MW
Avg. Class Size
30
Avg. Sections
1