Signal Processing

This book is about the topic of signal processing, especially the topics of signal analysis and filtering. We will cover advanced filter theories, including adaptive Wiener and Kalman filters, stationary and non-stationary signals, beamforming, and wavelet analysis. This book requires all readers to have a solid foundational understanding of the topics covered in Signals and Systems. Readers should also have a good understanding of advanced calculus, including topics covered in Engineering Analysis.

Table of Contents

• Introduction

Filtering

• Fourier Analysis
• Analog Filters
• Digital Filters
• Filter Design

Linear Predictors

• Wiener Filters
• Linear Prediction
• Lattice Predictors
• Steepest Descent Algorithm

Least-Mean-Square Filtering

• Least-Mean-Square
• Normalized Least-Squares
• Recursive Least-Squares
• Kalman Filtering
• Square Root Filters

Applications

• Image editing

Resources

• Resources
• Licensing