Subspace-based interference removal methods for a multichannel biomagnetic sensor array.

Subspace-based interference removal methods for a multichannel biomagnetic sensor array.
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多通道生物磁传感器阵列的基于子空间的干扰消除方法。

DOI:
10.1088/1741-2552/aa7693
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发表时间:
2017
影响因子:
4
通讯作者:
Nagarajan,SrikantanS
Nagarajan,SrikantanS
中科院分区:
工程技术2区
文献类型:
--
作者:
Sekihara,Kensuke;Nagarajan,SrikantanS

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Objective. In biomagnetic signal processing, the theory of the signal subspace has been applied to removing interfering magnetic fields, and a representative algorithm is the signal space projection algorithm, in which the signal/interference subspace is defined in the spatial domain as the span of signal/interference-source lead field vectors. This paper extends the notion of this conventional (spatial domain) signal subspace by introducing a new definition of signal subspace in the time domain. Approach. It defines the time-domain signal subspace as the span of row vectors that contain the source time course values. This definition leads to symmetric relationships between the time-domain and the conventional (spatial-domain) signal subspaces. As a review, this article shows that the notion of the time-domain signal subspace provides useful insights over existing interference removal methods from a unified perspective. Main results and significance. Using the time-domain signal subspace, it is possible to interpret a number of interference removal methods as the time domain signal space projection. Such methods include adaptive noise canceling, sensor noise suppression, the common temporal subspace projection, the spatio-temporal signal space separation, and the recently-proposed dual signal subspace projection. Our analysis using the notion of the time domain signal space projection reveals implicit assumptions these methods rely on, and shows that the difference between these methods results only from the manner of deriving the interference subspace. Numerical examples that illustrate the results of our arguments are provided.
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