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    Robust maximum correlation entropy Kalman filtering algorithm based on S-functions under impulse noise

    The impulse noise is heavy-tailed and distributed, which is common in many real-world scenarios of automatic control and target tracking. In order to improve the stability of Kalman filtering algorithms in the...

    Yuanlian Huo, Kuojian Yang, Yongfeng Qi, Tianci Xu in Signal, Image and Video Processing (2024)

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    A Family of Robust Diffusion Adaptive Filtering Algorithms Based on the Tanh Framework

    To enhance the performance of the diffusion robust adaptive filtering algorithm, this paper presents a novel loss function framework named the “Tanh cost function framework.” By utilizing this framework, we ar...

    Yuanlian Huo, Tianci Xu, Yongfeng Qi, Yurong Xu in Circuits, Systems, and Signal Processing (2024)

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    A new Gaussian Kernel Filtering Algorithm Involving the Sparse Criterion

    Kernel adaptive filtering algorithms have been successfully applied in many areas, among which the fraction lower power order statistics error criterion (FLP) is a better choice due to its prominent performanc...

    Yuanlian Huo, Danfeng Wang, Yongfeng Qi in Circuits, Systems, and Signal Processing (2023)

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    Article

    An Improved Sign Subband Adaptive Filter Algorithm

    To make the zero attractor sign subband adaptive filter (ZA-SSAF) algorithm more suitable for sparse systems, where the impulse response is sparse and disturbed with impulse interference, this paper proposes a...

    Yuanlian Huo, Ruibo Ding, Yongfeng Qi in Circuits, Systems, and Signal Processing (2022)