Abstract
Most of the existing algorithms are based on the ideal situation where the mixture is merely a linear transformation of the source signals and the demixer is simply a linear network, in this paper, nonlinear techniques are presented for instantaneous blind signal separation using information thearetic approach combined with (nonlinear) neural networks. Firstly, we addressed the issue of the modelling the mixture for both linear and nonlinear transformation of the source signals. Secondly, we derived the required algorithm to train the variable gradient multilayer perceptron (MLP) based on Lie group. In the past, most of the existing demixers employed a fixed gradient. Finally, computer simulations are being carried out to compare the performance of the linear and nonlinear demixer when the underlying mixture of the source signals is either linear or nonlinear.
Original language | English |
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Title of host publication | 2002 14th International Conference on Digital Signal Processing Proceedings, DSP 2002 |
Editors | A.N. Skodras, A.G. Constantinides |
Publisher | IEEE |
Pages | 1227-1234 |
Number of pages | 8 |
Volume | 2 |
ISBN (Print) | 0780375033 |
DOIs | |
Publication status | Published - 7 Nov 2002 |
Event | 14th International Conference on Digital Signal Processing, DSP 2002 - Santorini, Hellas, Greece Duration: 1 Jul 2002 → 3 Jul 2002 |
Conference
Conference | 14th International Conference on Digital Signal Processing, DSP 2002 |
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Country/Territory | Greece |
City | Santorini, Hellas |
Period | 1/07/02 → 3/07/02 |