Summary
International Workshop on Smart Info-Media Systems in Asia
2021
Session Number:SS2
Session:
Number:SS2-4
A Cascaded Spline Nonlinear Adaptive Filter Using L1 Norm Optimization
Keigo Fujita, Yasunori Sugita,
pp.110-115
Publication Date:2021/9/20
Online ISSN:2188-5079
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Summary:
This paper proposes a nonlinear adaptive filter in which a generalized spline nonlinear filter with cross terms and one spline activation function are connected in cascade. In the proposed method, to prevent the updating of the control points of little significance, the updating algorithm is derived by combining a L1-norm penalty on the control points with the squared error cost function. Some simulations show that the proposed filter can provide comparable or better performance compared to previous filters.