A novel recursive subspace method is presented for pseudo-modal parameter identification of time-varying structures based on projection approximation subspace tracking algorithm.
基于投影估计子空间跟踪算法提出了一种新的可用于时变结构模态参数识别的递推子空间方法。
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.
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。
We use a modified subspace tracking channel estimation algorithm and simulate the system BER performance under different channel estimation approaches and combining methods.
文中使用了改进的子空间跟踪信道估计算法，并仿真了不同信道估计方法、合并方法下系统的误比特率性能。
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