Source separation in post-nonlinear mixtures
IEEE Transactions on Signal Processing
Hi-index | 0.00 |
We propose a new generalized ICA frameworkin the form of a multi-layer perceptron as a density estimator. We adopt an optimization strategy based on two criteria: a minimum reconstruction error and a minimum distance from a uniform distribution. Some simulation results are also reported to validate the proposed algorithm.