Performance Analysis of Robust Subband Hammerstein Spline Adaptive Filter

被引：0
|
作者：
Tao Yu
Shijie Tan
Wenqi Li
Tianpeng Huang
Yi Yu
机构：
[1] Southwest Petroleum University,School of Electrical Engineering and Information
[2] University of Electronic Science and Technology of China,School of Automation Engineering
[3] Southwest University of Science and Technology,School of Information Engineering, Robot Technology Used for Special Environment Key Laboratory of Sichuan Province
来源：
Circuits, Systems, and Signal Processing | 2024年 / 43卷
关键词：
Exponential hyperbolic cosine; Hammerstein spline adaptive filter; Multiband-structured subband strategy; Non-Gaussian noise;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This article develops a subband Hammerstein spline adaptive filtering (SHSAF) algorithm with the exponential hyperbolic cosine (EHC) cost to acquire robustness against non-Gaussian noises, which is called the SHSAF-EHC algorithm. The delayless multiband-structured subband strategy is employed to enhance the convergence property in the Hammerstein-type nonlinear filtering structure. In addition, the statistical performance analysis of SHSAF-EHC is rigorously derived in the mean and mean-square senses. Numerical experiments under non-Gaussian noise scenarios corroborate the accuracy of theoretical findings and validate the superiority of the proposed algorithm.
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页码：368 / 387
页数：19
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