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Adaptive filtering of nonstationary signals using a modified P-vector algorithm.

机译：使用改进的P向量算法对非平稳信号进行自适应滤波。

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摘要

A new algorithm and two stage filter structure were developed for adaptive filtering of evoked responses. The new modified P-vector algorithm (mPa) allows the adaptive filter to simultaneously use the data gathered by a single electrode as its filter input and as its desired response. This is called single electrode adaptive filtering. Modeling the evoked response as the sum of three uncorrelated signal components, a two stage single channel time-sequenced adaptive filter structure was developed which improves convergence characteristics by decoupling the time-varying mean component from the jitter and noise components in the first stage. The EEG noise statistics must be known a priori and are adaptively estimated in real time. The performance of the two stage mPa time-sequenced adaptive filter approaches the performance for the ideal case of an adaptive filter having a noiseless desired response if the EEG is stationary. A second approach to single electrode adaptive filtering was investigated using a multichannel time-sequenced adaptive filter. The theory of multichannel time-sequenced adaptive filtering was developed and tested. Experimentally and theoretically, its performance approached ensemble averaging when only a single electrode is used.
机译：开发了一种新的算法和两级滤波器结构，用于对诱发反应进行自适应滤波。新的改进的P向量算法（mPa）允许自适应滤波器同时使用单个电极收集的数据作为其滤波器输入和所需的响应。这称为单电极自适应滤波。将诱发的响应建模为三个不相关信号分量的总和，开发了一种两级单通道按时间顺序自适应滤波器结构，该结构通过将时变平均分量与第一级抖动和噪声分量解耦来改善收敛特性。 EEG噪声统计信息必须事先已知，并且必须实时进行自适应估计。如果EEG稳定，则两级mPa时间排序自适应滤波器的性能接近具有无噪声所需响应的自适应滤波器理想情况的性能。使用多通道按时间顺序自适应滤波器研究了单电极自适应滤波的第二种方法。提出并测试了多通道时间序列自适应滤波理论。在实验和理论上，当仅使用单个电极时，其性能接近整体平均。

著录项

  • 作者

    Williams, Robert.;

  • 作者单位

    The University of Dayton.;

  • 授予单位 The University of Dayton.;
  • 学科 Engineering Electronics and Electrical.; Engineering Biomedical.
  • 学位 Ph.D.
  • 年度 1989
  • 页码 140 p.
  • 总页数 140
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;生物医学工程;
  • 关键词

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