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Hammerstein Spline Adaptive Filtering based on Normalised Least Mean Square Algorithm | IEEE Conference Publication | IEEE Xplore

Hammerstein Spline Adaptive Filtering based on Normalised Least Mean Square Algorithm


Abstract:

This paper proposes a normalised least mean square algorithm based on Hammerstein spline adaptive filtering. A nonlinear Hammerstein adaptive filters consists of memory-l...Show More

Abstract:

This paper proposes a normalised least mean square algorithm based on Hammerstein spline adaptive filtering. A nonlinear Hammerstein adaptive filters consists of memory-less function modified during learning and the spline control point is automatically controlled by gradient-based method. Simulation results demonstrate that the proposed algorithm exhibits more robust performance compared with the conventional spline adaptive filtering algorithms.
Date of Conference: 03-06 December 2019
Date Added to IEEE Xplore: 10 February 2020
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Conference Location: Taipei, Taiwan

References

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