Signal Processing and Machine Learning Theory

Advances in Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods, and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. Quick tutorial reviews of important and emerging topics of research in signal processing based tools Presents core principles in signal processing theory and shows their applications Discusses some emerging signal processing tools applied in machine learning methods Reference content on core principles, technologies, algorithms, and applications Comprehensive references to journal articles and other literature on which to build further, more specific, and detailed knowledge