Robust Proportionate Subband Adaptive Filter Algorithms With Optimal Variable Step-Size
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS(2024)
摘要
In this brief, we address the classical tradeoff between the convergence rate and steady-state error in the proportionate subband adaptive filter (PSAF) algorithm by designing an optimal variable step-size (OVSS) strategy that minimizes the mean square deviation at each iteration. To keep low computational complexity, we also present the vector implementation of OVSS. Furthermore, we extend the OVSS mechanism to the robust PSAF algorithm, to achieve fast convergence and low steady-state error in the impulsive noise. Simulations in an acoustic echo cancellation scenario have illustrated that the proposed algorithms are superior to existing state-of-the-art algorithms.
更多查看译文
关键词
Convergence,Acoustics,Steady-state,Heuristic algorithms,Autocorrelation,Time-domain analysis,Microgrids,Acoustic echo cancellation,impulsive noise,optimal variable step-size,proportionate subband adaptive filter
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要