Adaptive Kernel Algorithms

 

Please contact me at felix_albu@ieee.org if interested in receiving the matlab code used for a specific paper.

 

 

CONFERENCE PAPERS

  1. K. Nishikawa, F. Albu, “Adaptive Kernel Bandwidth Method for Kernel Normalized LMS Adaptive Algorithm", in Proc. of ICSTCC 2017, Sinaia, Romania, pp. 482-486.
  2. F. Albu, K. Nishikawa,  "Low complexity kernel affine projection-type algorithms with a coherence criterion", in Proc. of ICSIGSYS 2017, pp. 87-91.
  3. F. Albu, K. Nishikawa,  "New iterative kernel algorithms for nonlinear acoustic echo cancellation", in Proc. of APSIPA 2015, pp. 734-739.
  4. K. Nishikawa, F. Albu, “Implementation method of kernel adaptive filter as an add-on for a linear adaptive filter”, in Proc. of EUSIPCO 2015, pp. 2736-2740.
  5. K. Nishikawa, F. Albu, “Consideration on the Performance of Kernel Adaptive Filters for the Mixture of Linear and Non-Linear Environments", in Proc. of  IEEE APSIPA 2014
  6. F. Albu, D. Coltuc, K. Nishikawa, M. Rotaru,  "A fixed budget implementation of a new variable step size kernel proportionate NLMS algorithm", in Proc. of IEEE ICCAS 2014, pp. 890-894 Best presentation award  Picture
  7. K. Nishikawa, Y. Ogawa, and F. Albu, "Fixed Order Implementation of Kernel RLS-DCD Adaptive Filters", in Proc. of APSIPA 2013, Kaohshiung, Taiwan, 1-6
  8. Y. Maru, K. Nishikawa, and F. Albu, "Improvement of Convergence Characteristic of KPNLMS Algorithm by Using Multi Kernel Learning", Society Conference of IEICE (in Japanese), no.A-4-25, September 2013
  9. F. Albu, D. Coltuc, K. Nishikawa, M. Rotaru,  “An efficient implementation of the kernel affine projection algorithm”, in Proc. of IEEE ISPA 2013, Trieste, Italy, pp. 342-346.
  10. F. Albu, K. Nishikawa, “The Kernel Proportionate NLMS Algorithm”, in Proc. of EUSIPCO 2013 

 

BOOK CHAPTER

F. Albu, K. Nishikawa, "Nonlinear adaptive filtering with a family of kernel affine projection algorithms",  Handbook of Research on Advanced Intelligent Control Engineering and Automation, pp. 66-89, IGI-GLOBAL, 2015, ISBN: 9781466672482

 

 Google Scholar citations

 


 

 

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