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 mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
Blaster is a simple application that illustrates Windows NT 5.0’s support of the IrDA protocol. IrDA provides reliable point to point connectivity between 2 computers equipped with infrared
This sample demonstrates the handling of DIF_ calls during device installation and the insertion of a property page into the install wizard and into the device properties.
A language monitor provides a full duplex communications path between the print spooler and bi-directional printers that are capable of providing software-accessible status information and adds printer control information, such as commands defined by a printer job language, to the data stream s.
