基于QMF的单输入BSS脉冲波提取方法的提出

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

摘要

近年来,基于盲源分离(BSS)的脉冲波提取方法的研究取得了一定的进展。BSS是一种仅利用双传感器观测到的信号分离双源信号的方法。在脉冲波提取方法中,以各种类型的噪声和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。在本研究中,我们提出了一种单输入BSS方法用于PW提取来解决这一问题。在该方法中,利用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提取方法的基础。
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Proposal of Single Input BSS Method Using QMF for Pulse Wave Extraction
Recently, a study of Pulse Wave(PW) extraction methods using blind source separation (BSS) has been progressing. BSS is a method to separate double source signals using only the signals observed by double sensors. In the pulse wave extraction method, various types of noises and PW are used as source signals, and the PW is extracted using BSS from the observed signal that is 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. In this study, we propose a single-input BSS method for PW extraction to solve this problem. In the proposed method, two series of signals are generated by a single input signal using QMF, and the BSS of these signals is used as the basis of the PW extraction method.
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