基于正交镜像滤波的单输入盲源分离脉冲波提取方法的思考

Seiya Ogawa, Minoru Komatsu, H. Matsumoto
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引用次数: 0

摘要

BSS是一种仅使用双传感器观测到的信号来分离双源的方法。利用盲信号分离(BSS)提取脉冲波的研究一直在进行中。在脉冲波提取中,利用各种类型的噪声和PW作为源信号,利用BSS从这些信号混合的观测信号中提取PW。然而,由于该方法使用了双传感器,因此在实际应用中还存在一些问题需要解决,例如传感器之间的距离调整。为了解决这一问题,本研究提出了一种单输入BSS提取PW的方法。该方法利用正交镜像滤波器(Quadrature Mirror Filter, QMF)将单个输入信号生成两个序列信号,并将这些信号的BSS作为PW提取的基础。因此,与传统的双输入BSS方法相比,我们可以以相同的精度提取PW。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consideration on a Single Input Blind Source Separation Method Using Quadrature Mirror Filter for Pulse Wave Extraction
BSS is known as a method to separate double sources using only the signals observed by double sensors. A study of Pulse Wave (PW) extraction using Blind Signal Separation (BSS) has been progressing. In the pulse wave extraction, various types of noises and PW are used as source signals, and the PW is extracted using BSS from the observed signals that are a mixture of these signals. However, since this method uses double sensors, there are still issues to be solved for practical use, such as adjusting the distance between sensors. The purpose of this study is to solve this problem by proposing a single-input BSS method for PW extraction. In the proposed method, two series of signals are generated by a single input signal using Quadrature Mirror Filter (QMF), and the BSS of these signals is used as the basis of the PW extraction. As a result, we can extract PW with the same degree of precision compared to the conventional double-input BSS method.
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