Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment

This paper introduces a novel approach of blind separation in complex environment based on bi-dimensional flexible activation function (AF) and compares the performance of this architecture with the classical approach. The generalized complex function has been realized by a flexible bi-dimensional spline based approach both for the real and one for the imaginary parts, avoiding the restriction due to the Louiville´s theorem. The flexibility of the surface allows the learning of the control points using a gradient-based techniques. Some experimental results demonstrate the effectiveness of the proposed method.