Robust variable kernel width for maximum correntropy criterion algorithm

[1]  Xin Wang,et al.  Mixture correntropy for robust learning , 2018, Pattern Recognit..

[2]  Danilo P. Mandic,et al.  Tracking Dynamic Systems in α-Stable Environments , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[3]  Sheng Zhang,et al.  Adaptive Filtering Under a Variable Kernel Width Maximum Correntropy Criterion , 2017, IEEE Transactions on Circuits and Systems II: Express Briefs.

[4]  Badong Chen,et al.  Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identifications , 2019, IEEE Transactions on Circuits and Systems II: Express Briefs.

[5]  Andreas Antoniou,et al.  A Family of Shrinkage Adaptive-Filtering Algorithms , 2013, IEEE Transactions on Signal Processing.

[6]  José Carlos Príncipe,et al.  Generalized correlation function: definition, properties, and application to blind equalization , 2006, IEEE Transactions on Signal Processing.

[7]  Xiaodong Wang,et al.  Iterated maximum correntropy unscented Kalman filters for non-Gaussian systems , 2019, Signal Process..

[8]  Badong Chen,et al.  An adaptive kernel width update method of correntropy for channel estimation , 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).

[9]  Ran He,et al.  Robust Principal Component Analysis Based on Maximum Correntropy Criterion , 2011, IEEE Transactions on Image Processing.

[10]  Weifeng Liu,et al.  Correntropy: Properties and Applications in Non-Gaussian Signal Processing , 2007, IEEE Transactions on Signal Processing.

[11]  Gaston H. Gonnet,et al.  On the LambertW function , 1996, Adv. Comput. Math..

[12]  Sheng Zhang,et al.  Robust Shrinkage Normalized Sign Algorithm in an Impulsive Noise Environment , 2017, IEEE Transactions on Circuits and Systems II: Express Briefs.

[13]  José Carlos Príncipe,et al.  Using Correntropy as a cost function in linear adaptive filters , 2009, 2009 International Joint Conference on Neural Networks.

[14]  Hua Qu,et al.  Convergence performance analysis of an adaptive kernel width MCC algorithm , 2017 .

[15]  Tareq Y. Al-Naffouri,et al.  Adaptive Filters with Error Nonlinearities: Mean-Square Analysis and Optimum Design , 2001, EURASIP J. Adv. Signal Process..

[16]  Laijun Sun,et al.  A Proportionate Normalized Maximum Correntropy Criterion Algorithm with Correntropy Induced Metric Constraint for Identifying Sparse Systems , 2018, Symmetry.

[17]  Danilo P. Mandic,et al.  Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments , 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

[18]  Deniz Erdoğmuş,et al.  Towards a unification of information theoretic learning and kernel methods , 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..

[19]  José Carlos Príncipe,et al.  A loss function for classification based on a robust similarity metric , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

[20]  Wei Huang,et al.  Diffusion Robust Variable Step-Size LMS Algorithm Over Distributed Networks , 2018, IEEE Access.

[21]  Ehud Weinstein,et al.  Convergence analysis of LMS filters with uncorrelated Gaussian data , 1985, IEEE Trans. Acoust. Speech Signal Process..

[22]  Yingsong Li,et al.  Maximum Correntropy Criterion With Variable Center , 2019, IEEE Signal Processing Letters.

[23]  Jae-Woo Lee,et al.  A Variable Step-Size Diffusion LMS Algorithm for Distributed Estimation , 2015, IEEE Transactions on Signal Processing.

[24]  Yingsong Li,et al.  A Correntropy-Based Proportionate Affine Projection Algorithm for Estimating Sparse Channels with Impulsive Noise , 2019, Entropy.

[25]  Vinay Chakravarthi Gogineni,et al.  Improved proportionate-type sparse adaptive filtering under maximum correntropy criterion in impulsive noise environments , 2018, Digit. Signal Process..

[26]  Xi Liu,et al.  > Replace This Line with Your Paper Identification Number (double-click Here to Edit) < , 2022 .

[27]  Danilo P. Mandic,et al.  Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals , 2020, IEEE Signal Processing Letters.

[28]  Nanning Zheng,et al.  Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion , 2014, IEEE Signal Processing Letters.

[29]  Wentao Ma,et al.  Bias-compensated normalized maximum correntropy criterion algorithm for system identification with noisy input , 2017, Signal Process..

[30]  Xudong Wang,et al.  The Steady-State Mean-Square Error Analysis for Least Mean p -Order Algorithm , 2009, IEEE Signal Process. Lett..

[31]  Yanyan Wang,et al.  A variable step-size diffusion LMS algorithm over networks with noisy links , 2018, Signal Process..

[32]  Chien-Cheng Tseng,et al.  Least mean p-power error criterion for adaptive FIR filter , 1994, IEEE J. Sel. Areas Commun..

[33]  Badong Chen,et al.  A switch kernel width method of correntropy for channel estimation , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

[34]  Badong Chen,et al.  An adaptive kernel width update for correntropy , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

[35]  Ran He,et al.  Maximum Correntropy Criterion for Robust Face Recognition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[36]  Qiang Li,et al.  Diffusion fused sparse LMS algorithm over networks , 2020, Signal Process..

[37]  José Carlos Príncipe,et al.  Correntropy as a novel measure for nonlinearity tests , 2009, Signal Process..

[38]  Deniz Erdogmus,et al.  An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems , 2002, IEEE Trans. Signal Process..

[39]  Nanning Zheng,et al.  Generalized Correntropy for Robust Adaptive Filtering , 2015, IEEE Transactions on Signal Processing.

[40]  Yi Yu,et al.  Robust adaptive filtering algorithm based on maximum correntropy criteria for censored regression , 2019, Signal Process..

[41]  J. Engel.  Digital transmission in the presence of impulsive noise , 1965 .

[42]  Haiquan Zhao,et al.  An Improved Variable Kernel Width for Maximum Correntropy Criterion Algorithm , 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

[43]  Yi Yu,et al.  Variable step-size widely linear complex-valued NLMS algorithm and its performance analysis , 2019, Signal Process..