Steady-state mean-square performance analysis of the block-sparse maximum Versoria criterion
The maximum Versoria criterion algorithm (MVC) exhibits lower steady-state misalignment
and less complexity as compared to the maximum correntropy criterion (MCC) algorithm in …
and less complexity as compared to the maximum correntropy criterion (MCC) algorithm in …
Diffusion robust algorithm based on inverse hyperbolic sine and generalized entropy
Y Huo, T Xu, Y Xu, Y Qi - Digital Signal Processing, 2024 - Elsevier
This paper proposes a new robust cost function, which combines the inverse hyperbolic sine
cost function and the generalized maximum correlation entropy. Based on this cost function …
cost function and the generalized maximum correlation entropy. Based on this cost function …
Compressive Diffusion Bias-Compensated Bayesian Adaptation Over Networks With Noisy Data
This paper considers the scenario of noisy inputs and compressive diffusion (for reducing
communication load) with noisy links over sensor networks. We first study the …
communication load) with noisy links over sensor networks. We first study the …
A class of robust censored regression adaptive filtering algorithms
D Liu, H Zhao, Y Zhou - Digital Signal Processing, 2024 - Elsevier
To improve the robust characteristic and filtering accuracy of the traditional adaptive filtering
algorithms (AFAs) under censored regression (CR) model in impulsive interference …
algorithms (AFAs) under censored regression (CR) model in impulsive interference …
Low-complexity recursive constrained maximum Versoria criterion adaptive filtering algorithm
J Zhao, L Li, Q Li, B Li, H Zhang - Signal Processing, 2025 - Elsevier
Linearly-constrained adaptive filtering algorithms have emerged as promising candidates for
system estimation. The existing methods such as the constrained least mean square …
system estimation. The existing methods such as the constrained least mean square …
Robust Total Maximum Versoria Algorithm for Efficient DOA Estimation In Noisy Inputs
OM Abdelrhman, S Li, Y Dou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In adaptive filtering for direction-of-arrival (DOA) estimation, traditional bias-compensated
models often suffer from significant performance degradation in the presence of impulsive …
models often suffer from significant performance degradation in the presence of impulsive …
A hybrid optimization method based on DBO-tuning BiGRU assisted AKF for seamless INS/GPS navigation
X Wei, P Lang, Q Wang, J Li, K Feng, Y Zhan - GPS Solutions, 2025 - Springer
To enhance the navigation accuracy and continuity of the integrated navigation system
(INS)/global positioning system (GPS) in satellite denied conditions, the study proposes a …
(INS)/global positioning system (GPS) in satellite denied conditions, the study proposes a …
Fractional-Order Maximum Versoria Criterion Algorithms for α-Stable Environment
OM Abdelrhman, S Li - … Transactions on Circuits and Systems II …, 2024 - ieeexplore.ieee.org
Recent advances in adaptive filtering have highlighted the effectiveness of the robust
algorithms employing error nonlinearity cost functions such as the maximum versoria …
algorithms employing error nonlinearity cost functions such as the maximum versoria …
Robust-to-Noise Algorithms for Distributed Resource Allocation and Scheduling
M Doostmohammadian, A Aghasi - 2023 11th RSI International …, 2023 - ieeexplore.ieee.org
Efficient resource allocation and scheduling algorithms are essential for various distributed
applications, ranging from wireless networks and cloud computing platforms to autonomous …
applications, ranging from wireless networks and cloud computing platforms to autonomous …
Spectrum Efficient Anti-Jamming for OTFS Systems
Numerous anti-jamming techniques are available for wireless communication systems in the
literature. However, no work offers a spectrum-efficient anti-jamming technique for …
literature. However, no work offers a spectrum-efficient anti-jamming technique for …