Algorithms for estimation and classification based on sensor arrays
Separation of audio objects based on the principle of sparsity
Comparison of efficient algorithms for acoustic image estimation
Grant number: | 14/06066-6 |
Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
Start date: | August 01, 2014 |
End date: | December 31, 2014 |
Field of knowledge: | Engineering - Electrical Engineering - Telecommunications |
Principal Investigator: | Vitor Heloiz Nascimento |
Grantee: | Bruno Sanches Masiero |
Host Institution: | Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
Abstract New techniques for solving inverse problems using regularization with sparsity promoting metrics promise improved results for some specific situations. However, these techniques have very high computational costs. Recently, the Kronecker Array Transform (KAT) was developed to provide significant reduction of the computational cost for array processing, with the single restriction that the microphones should be distributed in a separable geometry. This postdoctoral project aims to design and build a microphones array with separable geometry. After verifying the calibration of the arrangement, measurements shall be performed to allow a comparison between these experimental results and those obtained via simulation. | |
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