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。
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。
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