该文提出了一种基于最差子空间分解聚类的非线性系统模糊辨识方法。
This paper proposed a fuzzy identification method for nonlinear systems which were based on decomposing clustering of the worst subspace.
本文对用于DOA估计的矩阵分解法进行了分析，证明了它是一种子空间方法。
The matrix decomposition method for DOA estimation is analyzed. It is proved that the method is a subspace method.
ESPRIT算法是一种用信号旋转不变性来估计信号参数的方法，属于子空间分解技术。
ESPRIT is a signal parameter estimation method using rotational invariance approaches, which is a subspace decomposing technique.
将快速子空间分解与宽带非相干信号子空间方法相结合，得到了宽带到达角估计快速方法。
Combined the fast subspace decomposition method with the wideband incoherent signal subspace method, a fast wideband incoherent signal subspace DOA estimation method is proposed.
为此，本文提出匹配追踪分解与子空间方法结合的方法，带噪语音信号的矢量空间可以认为由一个信号加噪声的子空间和一个纯噪声子空间构成。
To this end, this paper presents matching pursuit decomposition combines with sub-space method. The vector space of noisy speech is considered as a noisy speech space added a pure nose space.
为此，本文提出匹配追踪分解与子空间方法结合的方法，带噪语音信号的矢量空间可以认为由一个信号加噪声的子空间和一个纯噪声子空间构成。
To this end, this paper presents matching pursuit decomposition combines with sub-space method. The vector space of noisy speech is considered as a noisy speech space added a pure nose space.
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