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。
The key problem of eigen-subspace high-resolution methods is estimation of signal or noise subspace.
运用特征子空间类高分辨方法的关键在于信号或噪声子空间的估计。
A new approach is presented of the eigen-structure subspace algorithms, the problem of ambiguous estimation in the original algorithm is solved and array architecture is optimized.
提出了改进的特征结构子空间算法，采用二维联合估计方法，解决了原算法存在的角度估计模糊问题。
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