Tensor-based recursive least-squares adaptive algorithms with low-complexity and high robustness features
The recently proposed tensor-based recursive least-squares dichotomous coordinate
descent algorithm, namely RLS-DCD-T, was designed for the identification of multilinear …
descent algorithm, namely RLS-DCD-T, was designed for the identification of multilinear …
A Tensorial LMS Algorithm for Sparse System Based on Kronecker Product Decomposition
L Wang, J Li, L Zhong, Y Qi, T Li… - 2022 7th International …, 2022 - ieeexplore.ieee.org
In this paper, we propose a sparse constrained tensorial least mean square (LMS)
algorithm, which is suitable for the identification of multilinear sparse systems. The greatest …
algorithm, which is suitable for the identification of multilinear sparse systems. The greatest …
Improved Affine Projection Algorithm for the Identification of Multilinear Forms
In this paper, we address the multilinear system identification problem in the framework of
multiple-input single-output (MISO) systems. The large parameter space of such systems …
multiple-input single-output (MISO) systems. The large parameter space of such systems …