Nearest Kronecker product decomposition based linear-in-the-parameters nonlinear filters
SS Bhattacharjee, NV George - IEEE/ACM Transactions on …, 2021 - ieeexplore.ieee.org
A linear-in-the-parameters nonlinear filter consists of a functional expansion block, which
expands the input signal to a higher dimensional space nonlinearly, followed by an adaptive …
expands the input signal to a higher dimensional space nonlinearly, followed by an adaptive …
Generalized hyperbolic tangent based random fourier conjugate gradient filter for nonlinear active noise control
Y Xiao, S Chen, Q Zhang, D Lin, M Shen… - … on Audio, Speech …, 2022 - ieeexplore.ieee.org
The filtered-x least mean square (FxLMS) algorithm has been proposed for an active noise
control (ANC) system. However, due to the used mean square error (MSE) criterion, FxLMS …
control (ANC) system. However, due to the used mean square error (MSE) criterion, FxLMS …
A family of logarithmic hyperbolic cosine spline nonlinear adaptive filters
Spline nonlinear adaptive filters are well known for their ability to efficiently model nonlinear
systems while having low computational complexity. However, the performance of traditional …
systems while having low computational complexity. However, the performance of traditional …
Robust adaptive filtering based on exponential functional link network: Analysis and application
The exponential functional link network (EFLN) has been recently investigated and applied
to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on a …
to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on a …
Frequency domain exponential functional link network filter: Design and implementation
The exponential functional link network (EFLN) filter has attracted tremendous interest due
to its enhanced nonlinear modeling capability. However, the computational complexity will …
to its enhanced nonlinear modeling capability. However, the computational complexity will …
Quantized information-theoretic learning based Laguerre functional linked neural networks for nonlinear active noise control
Traditional functional linked neural networks (FLNNs) impose a significant computational
burden due to their input expansion, primarily stemming from the utilization of digital filters …
burden due to their input expansion, primarily stemming from the utilization of digital filters …
Steady-state mean-square error analysis for adaptive joint process filter using pipelined feedforward second-order Volterra architecture
Q Liu, Y He - IEEE Transactions on Circuits and Systems II …, 2021 - ieeexplore.ieee.org
To lower the high computational burden of nonlinear filter in the practical applications, the
previous paper has proposed the adaptive algorithm based on the joint process filter using …
previous paper has proposed the adaptive algorithm based on the joint process filter using …
Nonlinear System Identification Using Varying Exponential Even Mirror Fourier Nonlinear Filters
Adaptive exponential functional link neural network (AeFLNN) based on functional link
architecture is a recently added member in the family of linear-in-parameter nonlinear filters …
architecture is a recently added member in the family of linear-in-parameter nonlinear filters …
Letter on convergence of in-parameter-linear nonlinear neural architectures with gradient learnings
I Bukovsky, G Dohnal, PM Benes… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This letter summarizes and proves the concept of bounded-input bounded-state (BIBS)
stability for weight convergence of a broad family of in-parameter-linear nonlinear neural …
stability for weight convergence of a broad family of in-parameter-linear nonlinear neural …
[PDF][PDF] 鲁棒频域样条优先自适应滤波算法及性能分析
于涛， 谭世杰 - 信号处理, 2023 - signal.ejournal.org.cn
样条自适应滤波结构由线性滤波器和样条插值机制级联组成, 是解决Wiener-Hammerstein
模型系统辨识的一类有效方案. 在非线性系统辨识问题中, 随着滤波器阶数增加 …
模型系统辨识的一类有效方案. 在非线性系统辨识问题中, 随着滤波器阶数增加 …