Nonlinear Source Separation

Nonlinear source separation is the subject of much recent study, although until now no complete overview has been available. Author Luis Almeida fills this gap by providing a comprehensive look at the state of the art for practicing scientists and graduate students. Foundations and a detailed overview for nonlinear source separation methods are provided, with thorough references for readers who need more information on implementation of a specific method. Readers are assumed to have a basic knowledge of nonlinear trainable systems, including multilayer perceptrons (MLPs), and also the backpropagation training method and gradient-based optimization.