摘要
针对中潜伏期听觉诱发脑电的特点,利用信号和噪声的小波变换模极大值在分解尺度上的不同特性来滤除中潜伏期听觉诱发脑电信号中的EEG强噪声成份,重构出真实的中潜伏期听觉诱发脑电信号。通过仿真实验表明:采用小波变换模极大值技术,可以有效地提取信号,为信号特征选取提供可靠的特征分析数据。
According to the characteristics of mid-latency auditory evoked potentials(MLAEP) and by applying different specific properties of decomposition scale of wavelet transformation modulus maximum of signals and noise to remove the EEG strong noise of MLAEP signals,a real MLAEP signal is reconstructed.Simulating experiments show that using wavelet transformation modulus maximum technique may effectively extract signals and provide reliable analysis data for choosing specific properties of signals.
出处
《广西工学院学报》
CAS
2004年第1期15-18,共4页
Journal of Guangxi University of Technology
基金
桂林工学院青年扶持基金项目(2003)。
