秩数复杂度是度量状态空间中路径有多紊乱的方式。
Cyclomatic complexity is a way to measure how tangled the paths are in the state space.
印花磨砂玻璃配合着从天花悬挂下来错落有秩的黄铜钨丝灯，透着一丝复古味道，将整个空间营造出一种温暖精致的氛围。
Printing frosted glass with a suspendedbrass tungsten lamp down from the ceiling, reveals a trace of retro flavor, which creates a warm and refined atmosphereto the whole space.
使用一种修改的ULV更新算法进行噪声子空间跟踪，该算法不需要相关矩阵的秩估计，直接估计噪声子空间。
A modified ULV updating algorithm. is applied to performing noise subspace tracking. The algorithm does not require rank estimation of the correlation matrix, and estimate directly the noise subspace.
通过计算全测地子流形的基本群，确定了紧正规黎曼对称空间的极大的极大秩全测地子流形的整体分类。
In this paper, the authors give the globally classfication of the maximal totally geodesic submanifolds with maximal rank of normal Riemannian symmetric Spaces by computing the fundamental group.
研究如何应用位移秩的方法有效地求出一个给定的结构矩阵的核空间中的一个非零元素。
The main problem considered in this paper is how to find efficiently a nonzero element in the kernel of a given structured matrix by the displacement approach.
从理论上引出了空间分解秩、系统权、共亨度的概念。
Several concepts: System Dividing Rank, System Power, and Communal Degree are presented.
最后，根据降秩技术中的交叉谱思想，提出了一种新的对信号子空间维数减少时的处理算法。
Finally, to deal with the situation that the dimension of the signal subspace decreases, a new algorithm is proposed based on the idea of the Cross Spectral Method.
用奇异值分解界定信号和噪声子空间的困难之处，在于有效秩的确定。
A general difficulty of using singular value decomposition (SVD) to split signal and noise subspaces is in the right choice of effective rank.
降秩多级维纳滤波器在相关意义上进行截断降秩，其降秩性能优于基于特征子空间截断的降秩方法。
Reduced-rank Multistage Wiener Filter (RR-MWF) has better rank reduction performance than the methods based on eigen-subspace truncation.
又由于期望用户的能量可能位于信号子空间的某一子空间，所以将检测器限制在降秩子空间上是可行的。
The energy of the desired user may lie on a lower dimensional subspace, so the detection can be constrained on a reduced-rank subspace.
又由于期望用户的能量可能位于信号子空间的某一子空间，所以将检测器限制在降秩子空间上是可行的。
The energy of the desired user may lie on a lower dimensional subspace, so the detection can be constrained on a reduced-rank subspace.
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