为解决由于相机高速运动而导致的图像模糊，利用定点DSP芯片TMS320C 6416和维纳滤波算法实现电子稳像。
To absolve image blur for high speed camera, fixed-point DSP TMS320C6416 and wiener filtering algorithm were adopted.
为了能够在低运算资源的设备上实现鲁棒性前端，在ETSI标准的核心两级维纳滤波算法的基础上，我们提出了一种新方法以提高算法效率。
In order to use the robust feature in low computational resource device, on the basis of two-stage Wiener filtering algorithm in ETSI Standard, we propose a novel approach to improve the efficiency.
在应用于OFDM系统的信道估计方法中，维纳滤波是一种估计性能较好的算法，但是该方法计算复杂度大，不利于实现。
Although Wiener filtering has better performance in OFDM channel estimation, it is difficult to implement, because of high complexity.
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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