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Ｖｏｌｔｅｒａ滤波是研究信号高阶统计冗余性的一种有效途径．我们提出了一种用于提取图像边缘的自适应二次Ｖｏｌｔｅｒａ滤波器设计方法．这种滤波器是推广型Ｔｅａｇｅｒ基滤子的线性组合，其系数用基于极小化最小均方能量函数的共轭梯度法确定；它兼有局域平均和高通特性，因而可均衡去除噪声和增强图像边缘．文章还给出了计算实例．
Voltera’s filtering is an effective way to study high order statistical redundancy of signals. We propose an adaptive quadratic Volterra filter design method for image edge extraction. This filter is a linear combination of the generalized Teager-based filters whose coefficients are determined by the conjugate gradient method based on the minimized mean-square energy function; it combines both local averaging and high-pass characteristics so that the noise can be evenly removed Enhance the image edge. The article also gives a calculation example.