This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixin

进一步的属性和快速迭代截断算术平均滤波的实现，这篇文章的matlab代码实现-Further properties and fast iteration truncated arithmetic mean filter implementation, this article matlab code implementation