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Kernel adaptive filter

In signal processing, a kernel adaptive filter is a type of nonlinear adaptive filter. An adaptive filter is a filter that adapts its transfer… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
To identify Hammerstein systems, a variety of Hammerstein filters have been proposed. However, most of them assume the nonlinear… 
2017
2017
This paper proposes a novel recurrent multi-steps-prediction model call Recurrent Kernel Online Sequential Extreme Learning… 
2016
2016
Cauchy estimator has been successfully applied to the statistical learning owing to its unique distribution characteristics and… 
2015
2015
In this paper, we propose a novel structure for implementing a kernel adaptive filter as an add-on component for a linear… 
2013
2013
In this paper, we propose an efficient structure of the kernel recursive least squares (KRLS) adaptive filters for implementing… 
2012
2012
Classification can be seen as a mapping problem where some function of xn predicts the expectation of a class variable yn. This… 
2012
2012
In this paper, we propose a mixture structure of the linear and kernel adaptive fiilters for improving the convergence… 
2011
2011
In this paper, we investigate the enhancement of speech by applying kernel adaptive filter. Noise removal is very important in…