Robust and sparsity-aware adaptive filters: A review
An exhaustive review of adaptive signal processing schemes which are robust, sparsity-
aware and robust as well as sparsity-aware has been carried out in this paper. Conventional …
aware and robust as well as sparsity-aware has been carried out in this paper. Conventional …
Affine-projection Lorentzian algorithm for vehicle hands-free echo cancellation
An adaptive estimation algorithm based on the Lorentzian norm is proposed for echo
cancellation in vehicle hands-free communication systems and video teleconferencing …
cancellation in vehicle hands-free communication systems and video teleconferencing …
Robust adaptive least mean M-estimate algorithm for censored regression
G Wang, H Zhao - IEEE Transactions on Systems, Man, and …, 2021 - ieeexplore.ieee.org
An adaptive least mean M-estimate algorithm for censored regression (CR-LMM) is
presented for the robust parameter estimation of the censored regression system. To correct …
presented for the robust parameter estimation of the censored regression system. To correct …
A variable parameter LMS algorithm based on generalized maximum correntropy criterion for graph signal processing
H Zhao, W Xiang, S Lv - IEEE Transactions on Signal and …, 2023 - ieeexplore.ieee.org
The least mean square (LMS) algorithm of the graph signal processing (GSP) based on the
mean square error criterion has a poor reconstruction effect when the graph sampling signal …
mean square error criterion has a poor reconstruction effect when the graph sampling signal …
A robust family of algorithms for adaptive filtering based on the arctangent framework
This brief introduces a novel cost function framework for developing robust algorithms for
adaptive filtering by embedding the standard cost function into the arctangent framework …
adaptive filtering by embedding the standard cost function into the arctangent framework …
Variable step-size affine projection maximum correntropy criterion adaptive filter with correntropy induced metric for sparse system identification
H Zhao, B Liu, P Song - … Transactions on Circuits and Systems II …, 2020 - ieeexplore.ieee.org
In this brief, an affine projection maximum correntropy criterion with correntropy induced
metric (APMCCCIM) algorithm is proposed for robust sparse adaptive filtering, and it is …
metric (APMCCCIM) algorithm is proposed for robust sparse adaptive filtering, and it is …
A robust total least mean M-estimate adaptive algorithm for impulsive noise suppression
The errors-in-variables (EIV) model is widely used in linear systems where both input and
output signals are contaminated with noise. For the parameter estimation in the EIV model …
output signals are contaminated with noise. For the parameter estimation in the EIV model …
Affine projection mixed-norm algorithms for robust filtering
G Li, G Wang, Y Dai, Q Sun, X Yang, H Zhang - Signal Processing, 2021 - Elsevier
In this paper, a novel adaptive filtering algorithm combining both affine projection (AP)
method and robust mixed-norm algorithm (RMNA) is proposed, which is called APRMNA …
method and robust mixed-norm algorithm (RMNA) is proposed, which is called APRMNA …
Generalized maximum correntropy algorithm with affine projection for robust filtering under impulsive-noise environments
J Zhao, H Zhang, JA Zhang - Signal processing, 2020 - Elsevier
Combining affine projection (AP) with the generalized maximum correntropy (GMC) criterion,
we propose a new family of AP-type filtering algorithms, called as APGMC, for system …
we propose a new family of AP-type filtering algorithms, called as APGMC, for system …
Robust affine projection tanh algorithm and its performance analysis
The affine projection algorithm (APA) suffers from performance degradation when dealing
with non-Gaussian noises. To address this issue, a novel robust affine projection tanh …
with non-Gaussian noises. To address this issue, a novel robust affine projection tanh …