【摘要】 为解决均值滤波和中值滤波算法在数字信号处理中存在的问题,提出一种模糊自适应滤波算法.根据每个元素噪声度的大小控制均值滤波窗口的大小,并做了大量的仿真.与普通的均值滤波和中值滤波进行比较发现,该方法不仅很好地去除了信号中混有的脉冲,而且在不损坏信号细节的前提下,很好地滤除了噪声信号.最后,使用了信噪比改善因子S来检验算法的滤波效果,证明其滤波效果好于传统的中值滤波和均值滤波,且具有算法简单、实时性好等特点,并已经应用在很多场合.更多还原

【Abstract】 This paper introduces a kind of adaptive filtering algorithm of fuzzy to solve the mean filter and median filtering algorithm in digital signal processing problems.The algorithm in many simulations can control windows size of the mean filter according to degree of membership of each element’s noise.Compared with normal mean filtering algorithm and median filtering algorithm,this algorithm filters not only pulse but also noise signal commendably at the condition of signal detail not damaged.Finally,using improvement factor"S"proved this algorithm’s effectiveness of the filter.This algorithm proved better than the mean filter algorithm and median filter algorithm.The biggest advantage is that the algorithm is simple and has a good real time feature,and it has been used in many fields.更多还原