基于多级维纳滤波的原理，提出了一种改进的信号子空间估计方法。
A reduced rank method for estimating signal subspace was proposed, which was based on the principle of multistage Wiener filter.
基于多级维纳滤波器，提出了一种多输入多输出系统中的降秩自适应均衡算法。
Based on multistage Wiener filter, an reduced-rank adaptive equalizer for multiple input multiple output systems was proposed.
提出一种基于多级维纳滤波器(MSWF)的信号波达方向(DOA)估计算法。
A method of estimating Direction Arrival (DOA) based on Multistage Weiner Filtering (MSWF) is proposed.
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.
在证明结论的基础上，将后向迭代算法应用于相关相减算法多级维纳滤波器，提出了多级维纳滤波器的迭代相关相减实现算法。
Based on the results about CSA proven, the iterative CSA for implementing the MWF was proposed by applying the backward iteration to the CSA-MWF.
在证明结论的基础上，将后向迭代算法应用于相关相减算法多级维纳滤波器，提出了多级维纳滤波器的迭代相关相减实现算法。
Based on the results about CSA proven, the iterative CSA for implementing the MWF was proposed by applying the backward iteration to the CSA-MWF.
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