Robust spline adaptive filtering based on accelerated gradient learning: Design and performance analysis
This paper proposes a novel spline adaptive filtering (SAF) algorithm for nonlinear system
identification under impulsive noise environments. This algorithm combines the logarithmic …
identification under impulsive noise environments. This algorithm combines the logarithmic …
Nonlinear spline adaptive filters based on a low rank approximation
Nonlinear spline adaptive filters are a class of adaptive filters for modelling nonlinear
systems. To improve the convergence performance of existing nonlinear spline adaptive …
systems. To improve the convergence performance of existing nonlinear spline adaptive …
[HTML][HTML] Spline adaptive filtering algorithm based on different iterative gradients: Performance analysis and comparison
S Guan, B Biswal - Journal of Automation and Intelligence, 2023 - Elsevier
Two novel spline adaptive filtering (SAF) algorithms are proposed by combining different
iterative gradient methods, ie, Adagrad and RMSProp, named SAF-Adagrad and SAF …
iterative gradient methods, ie, Adagrad and RMSProp, named SAF-Adagrad and SAF …
A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility
Q Xu, L Wang, C Jiang, X Zhang - Expert Systems with Applications, 2019 - Elsevier
Recently, exploring the impact of investor sentiment on stock market volatility becomes
popular yet challenging. Two issues on mixed frequency data and nonlinear relationship …
popular yet challenging. Two issues on mixed frequency data and nonlinear relationship …
Frequency domain spline adaptive filters
Spline adaptive filter (SAF) is a kind of simple and effective nonlinear system online
identification method. When the length of FIR filter, which represents the linear sub-model, is …
identification method. When the length of FIR filter, which represents the linear sub-model, is …
Convergence analysis of adaptive exponential functional link network
V Patel, SS Bhattacharjee… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The adaptive exponential functional link network (AEFLN) is a recently introduced novel
linear-in-the-parameters nonlinear filter and is used in numerous nonlinear applications …
linear-in-the-parameters nonlinear filter and is used in numerous nonlinear applications …
Design of P-FLANN Model for Intelligent Water Fountain Sound Pleasantness Monitoring Using Bio-inspired Computing and Human Speech Perception
Cognitive-inspired computational systems play a crucial role in designing intelligent health
monitoring systems which help both patients and hospitals. It also helps in early and …
monitoring systems which help both patients and hospitals. It also helps in early and …
Spline adaptive filters based on real-time over-sampling strategy for nonlinear system identification
In this paper, a new spline adaptive filter (SAF) used for identifying the nonlinear systems is
presented, in which a real-time over-sampling (RTOS) strategy is proposed in order to solve …
presented, in which a real-time over-sampling (RTOS) strategy is proposed in order to solve …
Adaptive spline‐based PLL for synchronisation and power quality improvement in distribution system
A new type of non‐linear adaptive phase‐locked loop (PLL) has been proposed here, which
is based on spline interpolation. The study discusses the method of cubic spline, which is …
is based on spline interpolation. The study discusses the method of cubic spline, which is …
Chebyshev functional link spline neural filter for nonlinear dynamic system identification
Z Zhang, J Zhang - IEEE Transactions on Circuits and Systems …, 2021 - ieeexplore.ieee.org
In order to increase the nonlinear fitting performance of functional link neural network
(FLNN), a novel chebyshev functional link spline neural filter (CFLSNF) to apply in system …
(FLNN), a novel chebyshev functional link spline neural filter (CFLSNF) to apply in system …