Spline Versoria Prioritization Optimization Algorithm With Modified Adaptive Moment Estimation: Analysis and Comparison
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS(2024)
Abstract
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.
MoreTranslated text
Key words
Adaptive moment estimation,nonlinear system identification,non-Gaussian noise,spline adaptive filter
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined