Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervi

Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizin

This is the first book to introduce and integrate advanced digital signal processing (DSP) and classification together, and the only volume to introduce state-o

This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research top

This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin