Separation identification approach for the Hammerstein‐Wiener nonlinear systems with process noise using correlation analysis

F Li, M Liang, N He, Q Cao - International Journal of Robust …, 2023 - Wiley Online Library
This article develops a novel separation identification approach for the Hammerstein‐
Wiener nonlinear systems with process noise using correlation analysis technique. The …

Linear system identification based on a third-order tensor decomposition

J Benesty, C Paleologu… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
A wide variety of system identification problems can be efficiently addressed based on the
Kronecker product decomposition of the impulse response, together with low-rank …

Decomposition-based wiener filter using the Kronecker product and conjugate gradient method

CL Stanciu, J Benesty, C Paleologu… - … on Audio, Speech …, 2023 - ieeexplore.ieee.org
The identification of long-length impulse responses represents a challenge in the context of
many applications, like echo cancellation. Recently, the problem has been addressed in the …

Nonlinear acoustic echo cancellation using low-complexity low-rank recursive least-squares algorithms

V Patel, SS Bhattacharjee, JR Jensen, MG Christensen… - Signal Processing, 2024 - Elsevier
Adaptive exponential functional link networks (AEFLN) are a type of linear-in-the-parameter
nonlinear filters, which have shown enhanced modeling capability for nonlinear systems …

Recursive least-squares algorithm based on a third-order tensor decomposition for low-rank system identification

C Paleologu, J Benesty, CL Stanciu, JR Jensen… - Signal Processing, 2023 - Elsevier
A recently developed third-order tensor (TOT) decomposition-based method has proved to
be working very well in linear system identification problems that target the estimation of …

Nearest Kronecker product decomposition based multichannel filtered-x affine projection algorithm for active noise control

L Li, S Wang, SS Bhattacharjee, JR Jensen… - … Systems and Signal …, 2025 - Elsevier
The filtered-x affine projection (FxAP) algorithm is an appealing choice for active noise
control (ANC) systems. The main reason for its popularity is its fast convergence rate …

An iterative Wiener filter based on a fourth-order tensor decomposition

J Benesty, C Paleologu, LM Dogariu - Symmetry, 2023 - mdpi.com
This work focuses on linear system identification problems in the framework of the Wiener
filter. Specifically, it addresses the challenging identification of systems characterized by …

Kalman Filter Using a Third-Order Tensorial Decomposition of the Impulse Response

LM Dogariu, C Paleologu, J Benesty, F Albu - Applied Sciences, 2024 - mdpi.com
For system identification problems associated with long-length impulse responses, the
recently developed decomposition-based technique that relies on a third-order tensor (TOT) …

Study of Sparsity Emanating from NKPD and its Utilization to Enhance NKPD based Adaptive Algorithms

SS Bhattacharjee, MG Christensen… - 2023 31st European …, 2023 - ieeexplore.ieee.org
Recently, the nearest Kronecker product (NKP) decomposition has become popular in
several adaptive filtering (AF) applications owing to its fast convergence and tracking ability …

Low-Rank Multilinear Filtering

M Dehghan, JHM Goulart, ALF de Almeida - Digital Signal Processing, 2024 - Elsevier
Linear filtering methods are well-known and have been successfully applied to system
identification and equalization problems. However, when high-dimensional systems are …