中文摘要：

sinc-1模型作为逆系统能较好地改善LCD运动图像模糊现象,但其在极点处无法正确还原运动模糊的图像,且难以硬件实现.因此,本文从系统辨识的角度出发,提出了一种采用基于变步长最小均方误差（Least mean square,LMS）的低阶Volterra非线性系统拟合sinc-1模型的LCD运动图像去模糊的方法.仿真结果表明,该方法能消除sinc-1模型的极点问题,较好地改善了LCD运动图像模糊现象,简单且易于硬件实现.

英文摘要：

The sinc-1 model can reduce the LCD motion blur effectively, however, it can not restore the correct frequency components on the pole and is hard to implement on hardware. This paper presents a novel method which is trying to improve the LCD motion blur phenomenon from the view of system identification. The method uses the Volterra nonlinear system that is based on the VSSLMS （variable step size least mean square） algorithm to fit the sinc-1 model, which is a non-perfect inverse system to the LCD motion blur system for the pole problem. Simulation results demonstrate that the performance of the proposed simple method can avoid the pole problem of sinc-1 model and can be implemented on hardware easily.