α稳定噪声下基于随机共振的微弱诱发电位潜伏期延长检测  

Detection of latency delay in weak evoked potential with α-stable noises via stochastic resonance

作　　者：刘文红[1,2] 汪源源[1] 王斌[1] 邱天爽[3] 

机构地区：[1]复旦大学电子工程系,上海200433 [2]上海电机学院电子信息学院,上海200240 [3]大连理工大学电子信息与电气工程学部,辽宁大连116024

出　　处：《大连理工大学学报》2011年第2期281-285,共5页Journal of Dalian University of Technology

基　　金："九七三"国家基础研究发展计划资助项目(2006CB705707);上海市重点学科资助项目(B112);国家自然科学基金资助项目(30570488;30570475);中国博士后科学基金资助项目(20070420602);上海电机学院重点培育资助项目(10C104);上海电机学院科研启动基金资助项目(10C403);上海电机学院重点学科资助项目(10xkf01)

摘　　要：提出了一种基于分数低阶统计量及随机共振技术的鲁棒性时间延迟估计新方法——随机共振共变时间延迟估计(SRCTDE)算法,用于在低混合信噪比条件下及α稳定噪声下微弱诱发电位信号潜伏期延长的检测.SRCTDE算法首先利用带噪诱发电位信号与双稳态非线性动力系统之间的随机共振效应提高参考及待测诱发电位信号的混合信噪比,在最大对称共变系数准则下调整非线性系统的参数产生随机共振;接着计算两个随机共振系统输出之间的共变函数,其峰值位置给出诱发电位潜伏期延长估计值.计算机仿真对比实验验证了SRCTDE算法在不同混合信噪比下优于相关法及共变法的估计性能,结果表明SRCTDE算法是一种α稳定噪声下微弱诱发电位潜伏期延长检测的较好方法.Based on the fractional lower order statistics（FLOS） and stochastic resonance（SR） technique,a novel robust time delay estimation approach,stochastic resonance covariation time delay estimation（SRCTDE） algorithm is proposed to detect the latency delay in the evoked potential（EP） with the presence of the α-stable noise under the lower mixed-signal-to-noise ratio（MSNR） condition.In the SRCTDE,MSNRs of the reference and detected EP signals are improved via the SR effect between noisy EP signals and bistable nonlinear dynamical systems.The SR effect is realized by tuning system parameters to their optimal values under the maximum symmetric covariation coefficient criterion.Then,the covariation function between outputs of two SR systems is computed.The EP latency delay is estimated by obtaining the location of this covariation function peak.The performance of the SRCTDE algorithm is verified through computer simulations compared with the correlation algorithm and covariation algorithm for various values of MSNR.The SRCTDE algorithm gives an improved approach to estimation of the latency delay in the weak EP with α-stable noises.

关 键 词：诱发电位潜伏期 时间延迟估计 Α稳定分布 分数低阶统计量 随机共振 

分 类 号：TN911.7[电子电信—通信与信息系统]