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| Author(s): |
Rafael Assato Ando
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação |
| Defense date: | 2013-08-30 |
| Examining board members: |
Romis Ribeiro de Faissol Attux;
Ricardo Suyama;
Diogo Coutinho Soriano
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| Advisor: | Romis Ribeiro de Faissol Attux; Leonardo Tomazeli Duarte |
| Abstract | |
In this work, the BSS problem in the context of polynomial mixtures will be studied under three perspectives: a theoretical one, regarding the structural separability analysis; another related to the proposal of new methodologies - especially as extensions of algorithms based on recurrent networks - and finally, one regarding the solutions to real world problems, such as the reduction of the show-through effect produced by digitally scanning documents. The first such perspectives led to the proposal of a new approach to the nonlinear BSS problem, based on a formulation to the instantaneous inversion problem as the solution of a non-linear algebraic equation system. This approach led to the proposal of new methods to deal with the LQ problem, which may also be applied to other mixing models. The second perspective led to the development of an algorithm based on artificial immune system (AIS) to solve the LQ model, requiring less a priori information about the problem and providing better robustness in terms of global convergence. Finally, the application of the pro-posed methods to the practical problem of image treatment presented a very satisfactory performance, encouraging the possible extension to other test scenarios in the future, such as chemical sensors (AU) | |
| FAPESP's process: | 11/04425-0 - Blind source separation in the context of polynomial mixtures |
| Grantee: | Rafael Assato Ando |
| Support Opportunities: | Scholarships in Brazil - Master |