摘要
介绍了近年来出现的一种度量信号复杂程度的统计量——估计熵（Ａｐｐｒｏｘｉｍａｔｅｅｎｔｒｏｐｙ），并将其用于信号的模糊滤波。这种滤波器具有能随信号的特征自动调节滤波器结构的优点，特别是当信号为非平稳时有较好的效果。这种滤波方法具有一定的自适性，适合于工程应用。
A new signal complexity measure——Approximate Entropy(ApEn) is described. It is used in fuzzy filter. This new fuzzy filter can adjust its structure with the characteristic of the signal and it is proved to be effective especially when the noisy signal is nonstationary. It is suitable for engineering application.
出处
《数据采集与处理》
EI
CSCD
1998年第2期140-143,共4页
Journal of Data Acquisition and Processing
基金
航空科学基金
关键词
信号处理
熵
模糊集
模糊滤波
signal processing
entropy
fuzzy sets
membership function
approximate entropy
fuzzy filter
