一种基于非线性变换的EP潜伏期变化自适应检测方法

该文依据分数低阶矩理论和诱发电位（EP）信号及噪声的低阶α稳定分布特性，提出了一种自适应检测EP潜伏期变化的新方法。这种方法基于sigmoid函数对误差信号en(k)进行连续的非线性变换，即抑制了EP信号中的低阶α稳定分布噪声，又有效保留了信号成分，在高斯和低阶α稳定分布噪声条件下具有很好的韧性，且无须动态估计信号噪声的α参数。利用这种方法动态检测EP潜伏期的变化，比以往的DLMS，DLMP和SDA等算法具有较高的估计精度和较快的收敛速度，是一种具有较高韧性的性能优良的EP潜伏期变化动态检测方法。

A non-linear transform based adaptive ep latency change detection algorithm

This paper proposes a new adaptive EP latency change estimation algorithm based on the fractional lower order moment and the nonlinear transform for the error function. The new algorithm referred to as the NLST suppresses the lower order a-stable noises without the need to estimate dynamically the a values. The computer simulation and data analysis results show that this algorithm is robust under the lower order a-stable noise conditions, and it also provides a better performance than those of the DLMS, DLMP and SDA algorithms without the need to estimate the a value of the EP signals and noises.