eigen-subspace decomposition 特征子空间分解
eigen-subspace 特征子空间
eigen-subspace method 特征子空间法
eigen-subspace filtering 特征子空间滤波
eigen-subspace projection 特征子空间投影
eigen-structure subspace algorithm 特征结构子空间算法
The key problem of eigen subspace methods is the estimation of signal or noise subspace.
运用特征子空间方法的关键在于信号或噪声子空间的估计。
This paper attempts to implement the Eigen-subspace method, the basic method among subspace methods, using FPGAs.
本文则侧重于子空间法中特征子空间法的实现研究。
Reduced-rank Multistage Wiener Filter (RR-MWF) has better rank reduction performance than the methods based on eigen-subspace truncation.
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。
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