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 growth This book bases on theory presented in Signals and Systems. Advanced 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 Non-Stationary Signals Beamforming Signal Synthesis Wavelet Analysis Applications Image editing Resources Resources Licensing electrical engineering S 25% __NOTOC__ __NOEDITSECTION__