Convex regularized recursive kernel risk-sensitive loss adaptive filtering algorithm and its performance analysis
BX Su, KD Yang, FY Wu, TH Liu, HZ Yang - Signal Processing, 2024 - Elsevier
In the context of channel estimation amid non-Gaussian impulse noise, traditional non-
kernel-space methods face challenges of divergence, while many kernel-space methods fail …
kernel-space methods face challenges of divergence, while many kernel-space methods fail …
Active noise cancellation gets a boost: A novel diffusion-based approach in spline adaptive filters
T Bahraini, A Naeimi-Sadigh - ISA transactions, 2024 - Elsevier
This study addresses the challenge of unwanted noise in signal processing, particularly for
applications requiring high-fidelity audio like noise-canceling headphones. Current adaptive …
applications requiring high-fidelity audio like noise-canceling headphones. Current adaptive …
Adaptive parameter estimation for the expanded sandwich model
G Yang, H Zhang, Y Liu, Q Sun, J Qiao - Scientific Reports, 2023 - nature.com
An expanded-sandwich system is a nonlinear extended block-oriented system in which
memoryless elements in conventional block-oriented systems are displaced by memory …
memoryless elements in conventional block-oriented systems are displaced by memory …
Fixed-Point Widely Linear MCCC for Bias-Compensated Adaptive Filtering
C Qiu, Z Ruan, G Qian - Circuits, Systems, and Signal Processing, 2023 - Springer
Recently, the widely linear complex-valued estimated-input adaptive filter (WLC-EIAF) used
in processing noisy inputs and outputs has received increasing attention in machine …
in processing noisy inputs and outputs has received increasing attention in machine …
[PDF][PDF] Robust identification of multivariable Hammerstein models based on modified Newton–Raphson method
V Filipovic - researchgate.net
The paper considers the robustrecursivestochasticalgorithm for identification of
multivariableHammerstein model with a general static nonlinear block in polynomial form …
multivariableHammerstein model with a general static nonlinear block in polynomial form …