Optimizing Subband Adaptive Filters for Resilience Against Unanticipated Signal Truncation

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Signal Processing Letters Pub Date : 2024-10-07 DOI:10.1109/LSP.2024.3475349
Yuhong Wang;Xu Zhou;Zongsheng Zheng
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Abstract

This letter addresses a common issue in engineering applications: unanticipated signal truncation events caused by the mismatch between the operational range of measurement devices and the signals to be measured. Under such circumstances, the conventional normalized subband adaptive filtering (NSAF) algorithm significantly underperforms and may even fail to converge. To tackle this issue, we propose an improved NSAF algorithm. We introduce an expectation maximization framework to address the maximum likelihood estimation before the subband adaptive filter, specifically to handle double-sided signal truncation. This new approach leads to an NSAF for unanticipated truncation (UT-NSAF), which has been theoretically and numerically proven to be unbiased. Importantly, our research demonstrates that UT-NSAF significantly outperforms other algorithms in terms of estimation accuracy and convergence speed. Notably, the steady-state solution of UT-NSAF remains almost unaffected by varying truncation thresholds, showing robustness crucial for dealing with various unexpected signal truncation scenarios in engineering applications.
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优化子带自适应滤波器以抵御意外信号截断
这封信讨论了工程应用中的一个常见问题:由于测量设备的工作范围与待测信号不匹配而导致的意外信号截断事件。在这种情况下,传统的归一化子带自适应滤波(NSAF)算法性能明显不足,甚至可能无法收敛。为了解决这个问题,我们提出了一种改进的 NSAF 算法。我们引入了期望最大化框架来处理子带自适应滤波前的最大似然估计,特别是处理双面信号截断。这种新方法产生了一种用于非预期截断的 NSAF(UT-NSAF),该算法在理论和数值上都证明是无偏的。重要的是,我们的研究表明,UT-NSAF 在估计精度和收敛速度方面明显优于其他算法。值得注意的是,UT-NSAF 的稳态解几乎不受截断阈值变化的影响,这表明其鲁棒性对于处理工程应用中的各种意外信号截断情况至关重要。
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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