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eess.SP2025
CKFNet: Neural Network Aided Cubature Kalman filtering
Jinhui Hu, Haiquan Zhao, Yi Peng
The cubature Kalman filter (CKF), while theoretically rigorous for nonlinear estimation, often suffers performance degradation due to model-environment mismatches in practice. To a…
eess.SP2025
A Family of Robust Generalized Adaptive Filters and Application for Time-series Prediction
Yi Peng, Haiquan Zhao, Jinhui Hu
The continuous development of new adaptive filters (AFs) based on novel cost functions (CFs) is driven by the demands of various application scenarios and noise environments. Howev…
eess.SP2025
Diffusion Augmented Complex Maximum Total Correntropy Algorithm for Power System Frequency Estimation
Haiquan Zhao, Yi Peng, Jinsong Chen +1
Currently, adaptive filtering algorithms have been widely applied in frequency estimation for power systems. However, research on diffusion tasks remains insufficient. Existing dif…