Paulo S. R. Diniz (Universidade Federal do Rio de Janeiro), Marcello L. R. de Campos (Universidade Federal do Rio de Janeiro), Wallace A. Martins (University of Luxembourg)

Online Learning and Adaptive Filters

• Gebundenes Buch

Produktbeschreibung

Learn to solve the unprecedented challenges facing Adaptive Signal Processing in this concise, intuitive text. Describing up-to-date techniques and algorithms in a condensed and unified way, this one-of-a-kind book allows you to implement solutions to practical problems and is an ideal resource for graduate students, researchers and professionals.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 268
• Erscheinungstermin: 8. Dezember 2022
• Englisch
• Abmessung: 244mm x 170mm x 16mm
• Gewicht: 626g
• ISBN-13: 9781108842129
• ISBN-10: 1108842127
• Artikelnr.: 65579776

Autorenporträt

Paulo S. R. Diniz is a Professor at the Universidade Federal do Rio de Janeiro and a Fellow of the IEEE and of EURASIP. He is a Senior Editor of the IEEE Open Journal of Signal Processing and is co-author of a CUP textbook on Digital Signal Processing. He is also a member of the National Academy of Engineering and the Brazilian Academy of Science.

Inhaltsangabe

1. Introduction
2. Adaptive filtering for sparse models
3. Kernel-based adaptive filtering
4. Distributed adaptive filters
5. Adaptive beamforming
6. Adaptive filtering on graphs.