Online Learning and Adaptive Filters

Learn to solve the unprecedented challenges facing Online Learning and Adaptive Signal Processing in this concise intuitive text. The ever-increasing amount of data generated every day requires new strategies to tackle issues such as: combining data from a large number of sensors; improving spectral usage utilizing multiple-antennas with adaptive capabilities; or learning from signals placed on graphs generating unstructured data. Solutions to all of these and more are described in a condensed and unified way enabling you to expose valuable information from data and signals in a fast and economical way. The up-to-date techniques explained here can be implemented in simple electronic hardware or as part of multi-purpose systems. Also featuring alternative explanations for online learning including newly developed methods and data selection and several easily implemented algorithms this one-of-a-kind book is an ideal resource for graduate students researchers and professionals in online learning and adaptive filtering.