Chapter 15: Machine Learning in Signal Processing

Integrates machine learning algorithms into signal processing tasks.

Chapter Sections

Overview of Machine Learning

• Basic Concepts
• Supervised vs. Unsupervised Learning

Feature Engineering

• Feature Extraction Methods
• Dimensionality Reduction

Classification and Regression

• Support Vector Machines
• Neural Networks

Applications

• Pattern Recognition
• Anomaly Detection