Post-Nonlinear Blind Extraction in the Presence of
Wai Yie Leong, Danilo P. Mandic · 2008
An extension of blind source extraction (BSE) of one or a group of sources to the case of ill—conditioned and post-non- linear (PNL) mixing is introduced. This is achieved by a mixed objective type of cost function which jointly maximizes the kur- tosis of a recovered source and estimates a measure of nonlinearity within the mixing system. This helps to circumvent problems with existing BSE methods, which are limited to noiseless and linear mixing models. Simulations illustrate the performance of the pro- posed algorithm and its usefulness, especially in the presence of very ill-conditioned mixing systems.