A neural network-based nonlinear acoustic echo canceller

MM Halimeh, C Huemmer… - IEEE Signal Processing …, 2019 - ieeexplore.ieee.org
In this letter, we introduce a novel approach for nonlinear acoustic echo cancellation. The
proposed approach uses the principle of transfer learning to train a neural network that …

Diffusion Hammerstein spline adaptive filtering based on orthogonal gradient adaptive algorithm

S Sitjongsataporn - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, we propose a class of nonlinear diffusion filtering based on Hammerstein
function with the spline adaptive filter (HSAF) implemented by normalised version of …

Hybrid metaheuristic method of ABC kernel filtering for nonlinear acoustic echo cancellation

DC Diana, MJ Carline - Applied Acoustics, 2023 - Elsevier
This research work uses nonlinear kernel adaptive filtering to eliminate echo, a type of voice
that is undesirable and communicated over the microphone. Adaptive filters enable the …

Data-driven discovery of block-oriented nonlinear models using sparse null-subspace methods

J Li, X Li, HT Zhang, G Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article develops an identification algorithm for nonlinear systems. Specifically, the
nonlinear system identification problem is formulated as a sparse recovery problem of a …

A split kernel adaptive filtering architecture for nonlinear acoustic echo cancellation

S Van Vaerenbergh, LA Azpicueta-Ruiz… - 2016 24th European …, 2016 - ieeexplore.ieee.org
We propose a new linear-in-the-parameters (LIP) nonlinear filter based on kernel methods
to address the problem of nonlinear acoustic echo cancellation (NAEC). For this purpose we …

Identification of hammerstein systems with random Fourier features and kernel risk sensitive loss

Y Zheng, S Wang, B Chen - Neural Processing Letters, 2023 - Springer
Identification of Hammerstein systems with polynomial features and mean square error loss
has received a lot of attention due to their simplicity in calculation and solid theoretical …

Performance Evaluation of MC-CDMA Systems with Single User Detection Technique using Kernel and Linear Adaptive Method

R Fateh, A Darif, S Safi - Journal of Telecommunications and Information …, 2021 - jtit.pl
Among all the techniques combining multi-carrier modulation and spread spectrum, the multi-
carrier code division multiple access (MC-CDMA) system is by far the most widely studied. In …

New iterative kernel algorithms for nonlinear acoustic echo cancellation

F Albu, K Nishikawa - 2015 Asia-Pacific Signal and Information …, 2015 - ieeexplore.ieee.org
Recently, a nonlinear acoustic echo cancellation algorithm based on the framework of
kernel methods has been proposed by modeling the echo path as a Hammerstein system …

Significance-aware filtering for nonlinear acoustic echo cancellation

C Hofmann, C Huemmer, M Guenther… - EURASIP Journal on …, 2016 - Springer
This article summarizes and extends the recently proposed concept of Significance-Aware
(SA) filtering for nonlinear acoustic echo cancellation. The core idea of SA filtering is to …

Cascade Spline Adaptive Filtering based on Normalised Least Mean Square Algorithm

S Sitjongsataporn - … on Power, Energy and Innovations (ICPEI), 2023 - ieeexplore.ieee.org
Cascade architecture on spline adaptive filtering (CSAF) based on normalised least mean
square (NLMS) algorithm is furnished to investigate for nonlinear system. Spline adaptive …