An Information-Maximization Approach to Blind Separation and Blind Deconvolution
An Information-Maximization Approach to Blind Separation and Blind Deconvolution is a scholarly work by Terrence J. Sejnowski, published in 1995 in ''Neural Computation''. The main subjects of the publication include generalization, redundancy, deconvolution, computer science, chemometrics, nonlinear system, maximization, algorithm, mathematics, signal separation, artificial neural network, blind deconvolution, independent component analysis, and artificial intelligence. The authors also show that a variant on the network architecture is able to perform blind deconvolution (cancellation of unknown echoes and reverberation in a speech signal).