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1·Parameter Method: such as Wiener filter, Comb filter, Kalman filter and so on.

非参数方法：如谱减法，自我调节过滤器等。

2·In this paper, we extend the Wiener filter to a mixing form to deal with more cases.

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。

3·Introduce the Wiener filter algorithm base on MMSE, and time domain channel estimation algorithms.

介绍了基于MMSE维纳滤波算法，变换域信道估计算法，以及判决反馈信道估计算法。

4·An improved spatial domain image deblurring algorithm is proposed based on wiener filter and deconvolution.

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。

5·Based on multistage Wiener filter, an reduced-rank adaptive equalizer for multiple input multiple output systems was proposed.

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。

6·A reduced rank method for estimating signal subspace was proposed, which was based on the principle of multistage Wiener filter.

基于多级维纳滤波的原理，提出了一种改进的信号子空间估计方法。

7·Classical algorithms of image restoration include the inverse filter, wiener filter, constrained least squares filter and so on.

经典图像恢复方法包括逆滤波、维纳滤波、约束最小二乘等等。

8·An inverse wiener filter algorithm, which avoids the illness condition in common inverse filter, gives the final restored images.

最后用维纳逆滤波算法得到恢复图象，避免了普通逆滤波中的病态问题。

9·Kalman has already replaced the classic Wiener filter theory for it can not meet the development of modern target tracking system.

目前卡尔曼滤波理论基本上取代了维纳滤波理论，经典的维纳滤波方法基本上不适应现代目标跟踪系统的需求。

10·On the other hand, the error of the two filters is compared with that of Wiener filter in general. Their limitations are shown by …

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。