ECE 257 Signal Processing with Machine Learning

Explores the intersection of classical signal processing and modern machine learning. Covers stochastic signal processing, adaptive filtering (Wiener, LMS), and time-series analysis. Bridges these topics to machine learning fundamentals, including neural networks, sparse representations (Lasso, compressed sensing), and deep learning models (RNNs, LSTMs) for sequential data.