Blind deconvolution, information maximization and recursive filters

Starting from maximizing information flow through a nonlinear neuron Bell and Sejnowski (see Neural Computation, vol.7, no.6, p.1004-34, 1995) derived adaptation equations for blind deconvolution using an FIR filter. We derive a simpler form of the adaptation and apply it to more complex filter structures, such as recursive filters. As an application, we study blind echo cancellation for speech signals. We also present a method that avoids whitening the signals in the procedure