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Spline Versoria Prioritization Optimization Algorithm With Modified Adaptive Moment Estimation: Analysis and Comparison
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DOI：10.1109/TCSII.2023.3303365.png)
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摘要
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Spline prioritization optimization adaptive filter (SPOAF) based on maximum Versoria criterion (MVC), named SPOAF-MVC, is renowned for its excellent robustness and low steady-state error. However, there is still room for improvement in its convergence speed, and its mean-square performance analysis has not yet been implemented. In view of the above, this brief proposes a robust SPOAF based on a modified adaptive moment estimation (MAME) method, called SPOAF-MVC-MAME, and makes a detailed theoretical analysis of the algorithm's performance. Simulation results provide practical evidence that bolsters the theoretical analysis and verify the efficacy of our algorithm.
Keyword:
Adaptive moment estimation
nonlinear system identification
non-Gaussian noise
spline adaptive filter
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4.9
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8.8K
被引数:
2.5W
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