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.
该波束形成器首先让信号经过维纳滤波器消除非相干噪声，而后经过经典的线性约束最小方差处理，最终达到较好的语音增强效果。
This kind of beamformer can eliminate incoherent noise when signals pass Wiener filter, then achieve a better speech-enhance effect by linear constraints minimum variance beamforming.
改进并提出了基于频域维纳滤波器方法的空域图象模糊复原算法。
An improved spatial domain image deblurring algorithm is proposed based on wiener filter and deconvolution.
结果表明，将小波域上的经验维纳滤波器与平移不变小波相结合进行去噪，所得到的效果是最佳的。
From the experiments and analysis carried out in the paper, the optimal denoising results can be obtained by the combination of the empirical Wiener filter and the translation invariant wavelet.
为了突出维纳滤波器的主要特点，已尽可能地简化了设计问题。
In order to highlight the essential features of the Wiener filter it has been necessary to simplify the design problem, as much as possible.
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.
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.
并在求取离焦点扩散函数的基础上，优化了维纳滤波器，很大程度上降低了噪声对离焦模糊图像复原的不良影响。
This method improves the estimating precision of the point spread function. Wiener filter is fabricated for recovering the defocused image based on the defocused point spread function.
误差图像进行分形矢量量化编码时，使用设计的自适应二维维纳数字滤波器，对收缩的均值图像进行滤波后，可构造好的码书。
When coding the erroneous image by fractal vector quantization, a self-adaptive 2-d wiener digital filter to filtrate the contracted mean value image, which can result into a good quality codebook.
然后系统阐述了基本维纳滤波原理和自适应滤波器的基本结构模型，接着在此基础上结合最陡下降法引出LMS算法。
Then we explain basic theory of wiener filter and basic structure model of adaptive filter, and combine the method of steepest descent to deduce the LMS.
提出一种改进的维纳滤波器(WF)模型，用训练图像的均值合成维纳滤波传递函数中的参考函数，使WF具有了旋转不变识别的能力。
A modified Wiener filter (WF) model was proposed in which the reference term of WF's transfer function was synthesized using the mean of training images.
将该两种滤波器与一般情况的维纳滤波器的误差作了对比，并通过简单的理论试例，说明它们的局限性和应用范围。
On the other hand, the error of the two filters is compared with that of Wiener filter in general. Their limitations are shown by …
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.
在本文中，我们对维纳滤波器进行了扩展，得到维纳混合滤波器。
In this paper, we extend the Wiener filter to a mixing form to deal with more cases.
极限情况下，当混叠十分严重时，相对于理想低通滤波器，用维纳滤波器进行亚象素插值能将预测残差均方和减少一半。
In an extreme case, when the aliasing effects are very severe, using wiener filter can reduce the prediction errors'energy by about 50% in comparison with using the ideal low pass filter.
极限情况下，当混叠十分严重时，相对于理想低通滤波器，用维纳滤波器进行亚象素插值能将预测残差均方和减少一半。
In an extreme case, when the aliasing effects are very severe, using wiener filter can reduce the prediction errors'energy by about 50% in comparison with using the ideal low pass filter.
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