On the mean-square performance of the constrained LMS algorithm
The so-called constrained least mean-square algorithm is one of the most commonly used
linear-equality-constrained adaptive filtering algorithms. Its main advantages are …
linear-equality-constrained adaptive filtering algorithms. Its main advantages are …
Low-complexity constrained affine-projection algorithms
S Werner, JA Apolinario… - IEEE Transactions …, 2005 - ieeexplore.ieee.org
This paper proposes low-complexity constrained affine-projection (CAP) algorithms. The
algorithms are suitable for linearly constrained filtering problems often encountered in …
algorithms are suitable for linearly constrained filtering problems often encountered in …
Robust constrained affine-projection-like adaptive filtering algorithms using the modified Huber function
W Xu, H Zhao, S Lv - … Transactions on Circuits and Systems II …, 2022 - ieeexplore.ieee.org
In this brief, two robust constrained affine-projection-like M-estimate (CAPLM) adaptive
filtering algorithms are proposed, which solve the problem that the traditional constrained …
filtering algorithms are proposed, which solve the problem that the traditional constrained …
Adaptive parallel quadratic-metric projection algorithms
M Yukawa, K Slavakis, I Yamada - IEEE transactions on audio …, 2007 - ieeexplore.ieee.org
This paper indicates that an appropriate design of metric leads to significant improvements
in the adaptive projected subgradient method (APSM), which unifies a wide range of …
in the adaptive projected subgradient method (APSM), which unifies a wide range of …
On the equivalence of RLS implementations of LCMV and GSC processors
S Werner, JA Apolinario… - IEEE Signal Processing …, 2003 - ieeexplore.ieee.org
This letter compares the transients of the constrained recursive least squares (CRLS)
algorithm with the generalized sidelobe canceler (GSC) employing the recursive least …
algorithm with the generalized sidelobe canceler (GSC) employing the recursive least …
Logarithmic cost based constrained adaptive filtering algorithms for sensor array beamforming
VC Gogineni, S Mula - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
This paper introduces a novel family of constrained adaptive filtering algorithms for sensor
array beamforming. These algorithms, namely, constrained least mean logarithmic square …
array beamforming. These algorithms, namely, constrained least mean logarithmic square …
A generalized maximum correntropy based constraint adaptive filtering: Constraint-forcing and performance analyses
J Zhao, W Li, Q Li, H Zhang - ISA transactions, 2024 - Elsevier
The quadratic cost functions, exemplified by mean-square-error, often exhibit limited
robustness and flexibility when confronted with impulsive noise contamination. In contrast …
robustness and flexibility when confronted with impulsive noise contamination. In contrast …
Constrained Normalized Subband Adaptive Filter Algorithm and Its Performance Analysis
W Xu, H Zhao, S Lv - Circuits, Systems, and Signal Processing, 2024 - Springer
Constrained least mean square (CLMS) algorithm is the most popular constrained adaptive
filtering algorithm due to its simple structure and easy implementation. However, its …
filtering algorithm due to its simple structure and easy implementation. However, its …
Robust Constrained Normalized M-Estimate Subband Adaptive Filter: Algorithm Derivation and Performance Analysis
W Xu, H Zhao, S Lv - … Transactions on Circuits and Systems II …, 2024 - ieeexplore.ieee.org
This brief presents a constrained normalized M-estimate subband adaptive filter (CNMSAF)
algorithm that is robust to impulsive noise, which utilizes subband decomposition technique …
algorithm that is robust to impulsive noise, which utilizes subband decomposition technique …