The authors offer a comprehensive guide to machine learning applied to signal processing and recognition problems, and then discuss real applications in domains such as speech processing and biomedical signal processing, with a focus on handling noise. This textbook is intended for advanced undergraduate and graduate students of computer science and engineering. | Signal Processing And Machine Learning With Applications by Michael M. Richter, Hardcover | Indigo Chapters