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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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Related topics
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10 relations
Adaptive filter
Computational complexity theory
Kalman filter
Least mean squares filter
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Broader (1)
Digital signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Online sparse correntropy kernel learning for outlier-robust system identification
Michael S. Duarte
,
G. Barreto
IFAC-PapersOnLine
2019
Corpus ID: 198340916
2018
2018
Kernel Adaptive Hammerstein Filter
Yunfei Zheng
,
J. Dong
,
Wentao Ma
,
Badong Chen
European Signal Processing Conference
2018
Corpus ID: 54440099
To identify Hammerstein systems, a variety of Hammerstein filters have been proposed. However, most of them assume the nonlinear…
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2017
2017
Adaptive Glucose Prediction Models
Eleni I. Georga
,
D. Fotiadis
,
S. Tigas
2017
Corpus ID: 125345503
2017
2017
Recurrent kernel online sequential extreme learning machine with kernel adaptive filter for time series prediction
Zongying Liu
,
C. Loo
,
Kitsuchart Pasupa
IEEE Symposium Series on Computational…
2017
Corpus ID: 3323365
This paper proposes a novel recurrent multi-steps-prediction model call Recurrent Kernel Online Sequential Extreme Learning…
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2016
2016
A novel least Cauchy error algorithm and its kernel extension
Lujuan Dang
,
Yunfei Zheng
,
Shiyuan Wang
,
Wanli Wang
,
Qitang Sun
9th International Congress on Image and Signal…
2016
Corpus ID: 15153465
Cauchy estimator has been successfully applied to the statistical learning owing to its unique distribution characteristics and…
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2015
2015
Implementation method of kernel adaptive filter as an add-on for a linear adaptive filter
K. Nishikawa
,
F. Albu
European Signal Processing Conference
2015
Corpus ID: 11031654
In this paper, we propose a novel structure for implementing a kernel adaptive filter as an add-on component for a linear…
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2013
2013
Fixed order implementation of kernel RLS-DCD adaptive filters
K. Nishikawa
,
Yoshiki Ogawa
,
F. Albu
Asia-Pacific Signal and Information Processing…
2013
Corpus ID: 16041448
In this paper, we propose an efficient structure of the kernel recursive least squares (KRLS) adaptive filters for implementing…
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2012
2012
Kernel classifier with Correntropy loss
Rosha Pokharel
,
J. Príncipe
IEEE International Joint Conference on Neural…
2012
Corpus ID: 15465671
Classification can be seen as a mapping problem where some function of xn predicts the expectation of a class variable yn. This…
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2012
2012
Mixture structure of kernel adaptive filters for improving the convergence characteristics
K. Nishikawa
,
Hiroya Nakazato
Proceedings of The Asia Pacific Signal and…
2012
Corpus ID: 15969292
In this paper, we propose a mixture structure of the linear and kernel adaptive fiilters for improving the convergence…
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2011
2011
Speech enhancement using kernel adaptive filtering method
S. Nandyala
,
T. Kishore Kumar
IEEE International Conference on Microwaves…
2011
Corpus ID: 7927622
In this paper, we investigate the enhancement of speech by applying kernel adaptive filter. Noise removal is very important in…
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