Study on a New Spline Adaptive Filter Using Convex Combination of Exponential Hyperbolic Sine
PDF

Keywords

Non-Gaussian noise
spline adaptive filter
Exponential hyperbolic sine cost function

How to Cite

Zhao, Y., & Li, Y. (2024). Study on a New Spline Adaptive Filter Using Convex Combination of Exponential Hyperbolic Sine. Instrumentation, 11(3), 54–61. https://doi.org/10.15878/j.instr.202400193

Abstract

Abstract: In this paper, a new spline adaptive filter using a convex combination of exponential hyperbolic sinusoidal is presented. the algorithm convexly combines an exponential hyperbolic sinusoidal Hammerstein spline adaptive filter and a Wiener-type spline adaptive filter to maintain the robustness in non-Gaussian noise environments when dealing with both the Hammerstein nonlinear system and the Wiener nonlinear system. The convergence analyses and simulation experiments are carried out on the proposed algorithm. The experimental results show the superiority of the proposed algorithm to other algorithms.

https://doi.org/10.15878/j.instr.202400193
PDF
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2024 Yibo Zhao, Yening Li

Downloads

Download data is not yet available.