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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.
2019
2019
In the traditional Multiple Model Adaptive Estimation (MMAE) algorithm, the extended Kalman filter has theoretical limitations… 
2017
2017
In this paper, a novel sparse kernel recursive least squares algorithm, namely the Projected Kernel Recursive Least Squares… 
2016
2016
Cauchy estimator has been successfully applied to the statistical learning owing to its unique distribution characteristics and… 
2016
2016
Kernel least-mean mixed-norm (KLMMN) algorithm as a special kernel adaptive filter method achieves good performance when the… 
2016
2016
Kernel adaptive filters (KAFs) are powerful tools for online nonlinear system modeling, which are direct extensions of… 
2015
2015
Computational cost presents a barrier in the application of machine learning algorithms to large-scale real-time learning… 
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
Nonlinear adaptive filters are getting more common and are useful especially where performance of linear adaptive filters may be… 
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…