On Fast Converging Data-Selective Adaptive Filtering

On Fast Converging Data-Selective Adaptive Filtering

The amount of information currently generated in the world has been increasing exponentially, raising the question of whether all acquired data is relevant for the learning algorithm process. If a subset of the data does not bring enough innovation, data-selection strategies can be employed to reduc...

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Bibliographic Details
Main Authors: Marcele O. K. Mendonça, Jonathas O. Ferreira, Christos G. Tsinos, Paulo S R Diniz, Tadeu N. Ferreira
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Algorithms
Subjects:
adaptive signal processing
adaptive filters
parameter estimation
system identification
equalization
prediction
learning systems
data processing
LMS-Newton
conjugate gradient
Online Access:http://www.mdpi.com/1999-4893/12/1/4

Internet

http://www.mdpi.com/1999-4893/12/1/4

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