Sigmoid distance metric-based spline adaptive filters for nonlinear adaptive noise cancellation
DOI10.1016/J.INS.2024.120888zbMATH Open1544.93365MaRDI QIDQ6564928
Ming Xu, Hongxin Li, Jingsheng Tang, Wen-Qi Li, Zongtan Zhou
Publication date: 1 July 2024
Published in: Information Sciences (Search for Journal in Brave)
frequency domainperformance analysisnonlinear system identificationspline adaptive filternonlinear adaptive noise cancellationsigmoid distance metric
Filtering in stochastic control theory (93E11) System identification (93B30) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Frequency-response methods in control theory (93C80)
Cites Work
- A collaborative spline adaptive filter for nonlinear echo cancellation
- Steady-State Performance of Spline Adaptive Filters
- A Unified Approach to the Statistical Convergence Analysis of Frequency-Domain Adaptive Filters
- Novel Cascade Spline Architectures for the Identification of Nonlinear Systems
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- A class of adaptive filtering algorithms based on improper complex correntropy
- \(L_1\)-norm constraint kernel adaptive filtering framework for precise and robust indoor localization under the internet of things
- The \(q\)-gradient LMS spline adaptive filtering algorithm and its variable step-size variant
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