Design and implementation of non-integer band pass filters for EEG processing

J. Baranowski, P. Piątek, Kamelia Niemczyk
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引用次数: 4

Abstract

The problem of signal processing in EEG analysis is a current and interesting one. Appropriate choice of the filter is still a topic of ongoing discussion. In this paper we analyze application of non-integer band pass filters for this purpose. Non-integer filters are interesting because of their flexibility in the shaping of slopes in amplitude response. However, their direct digital implementation is not possible, as they require infinite memory because of lack of semigroup property. We show how to implement non-integer filters using Laguerre Impulse Response Approximation (LIRA) method. Also design of filter is discussed and illustrated with two examples of EEG signal processing.
脑电处理非整数带通滤波器的设计与实现
脑电信号分析中的信号处理问题是当前研究的热点问题。过滤器的适当选择仍然是一个正在讨论的话题。本文分析了非整数带通滤波器在这方面的应用。非整数滤波器因其在振幅响应中斜率的形成方面的灵活性而引起人们的关注。然而,它们的直接数字实现是不可能的,因为它们由于缺乏半群性质而需要无限的内存。我们展示了如何使用Laguerre脉冲响应近似(LIRA)方法实现非整数滤波器。文中还讨论了滤波器的设计,并以两个脑电信号处理实例进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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