Separation of audio objects based on the principle of sparsity
Algorithms for estimation and classification based on sensor arrays
A study of the acoustic features used in the process of the perception of the orie...
![]() | |
Author(s): |
Rafael Krummenauer
Total Authors: 1
|
Document type: | Master's Dissertation |
Press: | Campinas, SP. |
Institution: | Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação |
Defense date: | 2007-07-16 |
Examining board members: |
Amauri Lopes;
Carlos Antonio Alves;
Renato da Rocha Lopes;
Romis Ribeiro de Faissol Attux
|
Advisor: | Amauri Lopes |
Abstract | |
This work deals with the problem of estimating the direction of arrival (DOA) of plane waves using a uniform linear array of sensors. We are concerned with situations where the signal-to-noise ratio is low and the signal sources are spatially close. Our proposal is based on MODE, MODEX and Modified MODEX, that are efficient methods proposed in the literature. Inspired in concepts of linear filtering and in the maximum likelihood criterion, we propose a procedure that reduces the effect of noise in the estimation result. This procedure consists on filtering the received data and on modifying the likelihood function used to obtain the estimates. Numerical simulations show that the performance of the proposed method is better than those of MODE, MODEX and Modified MODEX methods, achieving lower mean square error and lower bias (AU) |