Richter M.M., Paul S., Kepuska V., Silaghi M. Signal Processing and Machine Learning with Applications

Springer, 2022. — 626 p. — ISBN: 978-3-319-45371-2.Signal processing captures, interprets, describes, and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal-processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them to human-machine interaction to communicate.Realms of Signal Processing.
Machine Learning and Recognition.
General Learning Real Aspects and Applications.