Nonlinear Source Separation

Introduction.- Linear Source Separation.- Nonlinear Separation.- Final Comments.- Statistical Concepts.- Online Software and Data.

Luis B. Almeida is a full professor of Signals and Systems, and of Neural Networks and Machine Learning, at Instituto Superior Tecnico, Technical University of Lisbon, and a researcher at the Telecommunications Institute, Lisbon, Portugal. He holds a Ph. D. in Signal Processing from the Technical University of Lisbon. He has formerly taught Systems Theory, Telecommunications, Digital Systems and Mathematical Analysis, among others. Luis B. Almeida's current research focuses on nonlinear source separation. Formerly he has performed research on speech modeling and coding, Fourier and time-frequency analysis of signals, and training algorithms for neural networks. Some highlights of his work include the sinusoidal model for voiced speech, currently in use in INMARSAT and IRIDIUM telephones (developed with F.M. Silva and J.S. Marques), work on the Fractional Fourier Transform, the development of recurrent backpropagation, and the development of the MISEP method of nonlinear source separation. Luis B. Almeida has been a founding Vice-President of the European Neural Network Society and the founding President of INESC-ID (a nonprofit research institute associated with the Technical University of Lisbon).