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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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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
Kernel Adaptive Filtering Multiple-model Actuator Fault Diagnostic For Multi-effectors Aircraft
Peng Zhu
,
Wen-han Dong
,
Yuhao Mao
,
Haoyu Shi
,
Xiaoshan Ma
Asian Control Conference
2019
Corpus ID: 198145690
In the traditional Multiple Model Adaptive Estimation (MMAE) algorithm, the extended Kalman filter has theoretical limitations…
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2017
2017
Projected Kernel Recursive Least Squares Algorithm
Ji Zhao
,
Hongbin Zhang
International Conference on Neural Information…
2017
Corpus ID: 37423609
In this paper, a novel sparse kernel recursive least squares algorithm, namely the Projected Kernel Recursive Least Squares…
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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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2016
2016
A novel entropy optimized kernel least-mean mixed-norm algorithm
Xiong Luo
,
Jing Deng
,
Ji Liu
,
A. Li
,
Weiping Wang
,
Wenbing Zhao
IEEE International Joint Conference on Neural…
2016
Corpus ID: 2508537
Kernel least-mean mixed-norm (KLMMN) algorithm as a special kernel adaptive filter method achieves good performance when the…
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2016
2016
Kernel adaptive filtering subject to equality function constraints
Badong Chen
,
Z. Qin
,
Nanning Zheng
,
J. Príncipe
European Signal Processing Conference
2016
Corpus ID: 14408545
Kernel adaptive filters (KAFs) are powerful tools for online nonlinear system modeling, which are direct extensions of…
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2015
2015
Braiding: A scheme for resolving hazards in kernel adaptive filters
Stephen Tridgell
,
Duncan J. M. Moss
,
Nicholas J. Fraser
,
P. Leong
International Conference on Field-Programmable…
2015
Corpus ID: 5830313
Computational cost presents a barrier in the application of machine learning algorithms to large-scale real-time learning…
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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
An alternative kernel adaptive filtering algorithm for quaternion-valued data
T. Ogunfunmi
,
Thomas K. Paul
Proceedings of The Asia Pacific Signal and…
2012
Corpus ID: 12802980
Nonlinear adaptive filters are getting more common and are useful especially where performance of linear adaptive filters may be…
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2012
2012
Mixture structure of kernel adaptive filters for improving the convergence characteristics
K. Nishikawa
,
Hiroyasu 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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