Online data centering modifications for adaptive filtering with NLMS algorithm

@article{Cejnek2016OnlineDC,
  title={Online data centering modifications for adaptive filtering with NLMS algorithm},
  author={Matous Cejnek and Ivo Bukovsky},
  journal={2016 International Joint Conference on Neural Networks (IJCNN)},
  year={2016},
  pages={1767-1771}
}
This paper presents method with two modifications how to transform data in real-time for better performance of normalized least mean squares (NLMS) algorithm. The method centers input vector for adaptive filter online according to temporary or historical statistical attributes of the input vector. The method is derived for an adaptive filter with NLMS adaptation. The filter implementation is the linear neural unit. The stability condition for the given filter is also presented. The filter is… CONTINUE READING

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