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 …
Adaptive filtering: issues, challenges, and best-fit solutions using particle swarm optimization variants
Adaptive equalization is crucial in mitigating distortions and compensating for frequency
response variations in communication systems. It aims to enhance signal quality by …
response variations in communication systems. It aims to enhance signal quality by …
Variable step-size widely linear complex-valued affine projection algorithm and performance analysis
In this paper, a variable step-size widely linear complex-valued affine projection algorithm
(VSS-WLCAPA) is proposed for processing noncircular signals. The variable step-size …
(VSS-WLCAPA) is proposed for processing noncircular signals. The variable step-size …
Noise-free maximum correntropy criterion algorithm in non-Gaussian environment
In this brief, a noise-free maximum correntropy criterion (NFMCC) algorithm is proposed for
system identification in non-Gaussian environments. The proposed algorithm utilizes …
system identification in non-Gaussian environments. The proposed algorithm utilizes …
Affine-projection-like M-estimate adaptive filter for robust filtering in impulse noise
P Song, H Zhao - IEEE Transactions on Circuits and Systems II …, 2019 - ieeexplore.ieee.org
In this brief, an affine-projection-like M-estimate (APLM) algorithm is proposed for robust
adaptive filtering. To eliminate the adverse effects of impulsive noise in case of the impulse …
adaptive filtering. To eliminate the adverse effects of impulsive noise in case of the impulse …
An improved variable kernel width for maximum correntropy criterion algorithm
The maximum correntropy criterion (MCC) algorithm has attracted much attention due to its
capability of combating impulsive noise. However, its performance depends on choice of the …
capability of combating impulsive noise. However, its performance depends on choice of the …
Efficient DOA estimation method using bias-compensated adaptive filtering
C Liu, H Zhao - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
We consider the DOA estimation problem by using adaptive nulling antenna technology and
bias-compensated adaptive filtering framework. The adaptive nulling antenna array consists …
bias-compensated adaptive filtering framework. The adaptive nulling antenna array consists …
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 …
Shrinkage linear and widely linear complex-valued least mean squares algorithms for adaptive beamforming
In this paper, shrinkage linear complex-valued least mean squares (SL-CLMS) and
shrinkage widely linear complex-valued least mean squares (SWL-CLMS) algorithms are …
shrinkage widely linear complex-valued least mean squares (SWL-CLMS) algorithms are …