Non-Fiction Books:

Online Learning and Adaptive Filters

Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!
$267.00
Available from supplier

The item is brand new and in-stock with one of our preferred suppliers. The item will ship from a Mighty Ape warehouse within the timeframe shown.

Usually ships in 3-4 weeks
Free Delivery with Primate
Join Now

Free 14 day free trial, cancel anytime.

Buy Now, Pay Later with:

4 payments of $66.75 with Afterpay Learn more

6 weekly interest-free payments of $44.50 with Laybuy Learn more

Availability

Delivering to:

Estimated arrival:

  • Around 13-25 June using International Courier

Description

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.

Author Biography:

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. Marcello L. R. de Campos is a Professor at the Universidade Federal do Rio de Janeiro. He is a Senior Member of the IEEE and of the Brazilian Telecommunications Society, and member of the Brazilian Mathematical Society and of the Society for Industrial and Applied Mathematics. Wallace A. Martins is an Associate Professor at the Universidade Federal do Rio de Janeiro and a researcher with the University of Luxembourg. He is an Associate Editor for the IEEE Signal Processing Letters, and is currently a Senior Member of the IEEE and a member of the Brazilian Telecommunications Society. Markus V. S. Lima is an Associate Professor at the Universidade Federal do Rio de Janeiro and Chair of the IEEE Signal Processing Chapter in Rio de Janeiro. He is also a member of the Brazilian Telecommunications Society. José A. Apolinário, Jr. is an Associate Professor at the Military Institute of Engineering. He is a Senior Member of the IEEE and the Brazilian Society of Telecommunications.
Release date NZ
December 8th, 2022
Pages
300
Audience
  • Tertiary Education (US: College)
Illustrations
Worked examples or Exercises
Dimensions
175x251x19
ISBN-13
9781108842129
Product ID
35966689

Customer reviews

Nobody has reviewed this product yet. You could be the first!

Write a Review

Marketplace listings

There are no Marketplace listings available for this product currently.
Already own it? Create a free listing and pay just 9% commission when it sells!

Sell Yours Here

Help & options

Filed under...