Online Learning and Adaptive Filters (eBook)

Marcello L. R. de Campos, Paulo S. R. Diniz, Jr Jose A. Apolinario, Markus V. S. Lima, Wallace A. Martins (Autoren)

eBook Download: PDF

2022
Cambridge University Press (Verlag)
978-1-108-90224-3 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 8.12.2022
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften
• ISBN-10: 1-108-90224-3 / 1108902243
• ISBN-13: 978-1-108-90224-3 / 9781108902243