COURSE

INTR5320

Incremental Learning and Adaptive Signal Processing

Systems Hub / Intelligent Transportation · 3 Credits

This course aims to develop students’ fundamental understanding of the theory and application of incremental learning and adaptive signal processing. Topics covered in this course include Wiener filter, least mean squares (LMS), recursive least squares (RLS), the Kalman filter, classification, parameter learning, neural network and deep learning.