Ungan P, Basar E
Electroencephalogr Clin Neurophysiol. 1976 May;40(5):516-20. doi: 10.1016/0013-4694(76)90081-x.
The application of the Wiener filter to the estimation of evoked potentials is criticized, and this method is compared with an a posteriori selective averaging method. It is shown that Wiener filtering may cause information loss for certain types of evoked potentials, since the transient evoked response components of the brain are of damped oscillatory character and are not stationary signals. The selective averaging method is briefly described and suggested to obtain consistent, dependable and more descriptive averaged evoked potentials (AEPs) of a brain structure for well-defined waking and sleep stages. The stated arguments are supported by a comparative representation of AEPs obtained from the cat inferior colliculus by means of Wiener filtering and selective averaging.
维纳滤波器在诱发电位估计中的应用受到批评，并将该方法与一种后验选择性平均方法进行了比较。结果表明，维纳滤波可能会导致某些类型的诱发电位信息丢失，因为大脑的瞬态诱发反应成分具有阻尼振荡特性，且不是平稳信号。简要描述了选择性平均方法，并建议使用该方法来获得明确的清醒和睡眠阶段大脑结构一致、可靠且更具描述性的平均诱发电位（AEP）。通过维纳滤波和选择性平均从猫的下丘获得的AEP的比较表示支持了上述观点。
