Abstract The environmental noise and frequency noise interference on EEG for further processing and analysis with the extremely disadvantageous influence. In view of the traditional wavelet coefficients by soft threshold de noise processing method of waveform distortion and hard threshold de noise processing method after the oscillation phenomenon, put forward a new wavelet coefficients nonlinear continuous function attenuation processing algorithm. By means of the wavelet coefficients of the nonlinear attenuation process, the low values of a continuous function between the end of wavelet coefficients between hard and soft threshold, effectively avoid the waveform distortion and oscillation. Processed EEG signal to noise ratio and mean square error are superior to the traditional wavelet denoising processing method.
［1］Albera L, Kachenoura A, Comon P, et al. ICA-Based EEG Denoising: a Comparative Analysis of Fifteen Methods［J］.Bulletin of the PolishAcademy of Sciences:Technical Sciences,2012,60(3):407-418.
［2］胡春海,信思旭,刘斌,等.基于小波变换和盲源分离的P300识别算法研究［J］.计量学报,2017,38(2):242-246.
［3］文莉,刘正士,葛运建.小波去噪的几种方法［J］.合肥工业大学学报（自然科学版）,2002,25(2):167-172.
［4］贾亦卓,姜润翔,龚沈光.基于小波模极大值能量的船舶轴频电场检测［J］.电子学报,2014,42(3):592-596.
［5］肖倩,王建辉,方晓柯,等.一种基于互相关函数的小波系数相关阈值去噪方法［J］.东北大学学报（自然科学版）,2011,32(3):318-321.
［6］陈晓曦,王延杰,刘恋.小波阈值去噪法的深入研究［J］.激光与红外,2012,42(1):105-110.
［7］王洪斌,王世豪,籍冰朔,等.基于改进多阈值小波包的去噪算法及应用［J］.计量学报,2016,37(2):205-208.
［8］Donoho D L, Johnstone I M. Ideal Spatial Adaptation Via Wavelet Shrinkage［J］. Biometrika,1994,81（3）:425-455.
［9］姚家扬,罗志增.一种基于新型阈值函数小波去噪方法［J］.杭州电子科技大学学报(自然科学版),2015,35(4):80-83.
2017, Vol. 38 
