IIIE 20352
INSTITUTO DE INVESTIGACIONES EN INGENIERIA ELECTRICA "ALFREDO DESAGES"
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Analysis of source separation algorithms in industrial acoustic environments
Autor/es:
A. CHACÓN-RODRÍGUEZ, C. LOZANO, A. GOMEZ, F. MERCHAN; P. JULIAN
Reunión:
Congreso; 2015 IEEE 6th Latin American Symposium on Circuits & Systems; 2015
Resumen:
This paper shows the results from the computationcost evaluation of three blind source separation algorithms. Thealgorithms tested were: FastICA, Adaptive Algorithm Based onNatural Gradient, and Adaptive EASI Based on Relative Gradient.The algorithms were chosen for their relative simplicity, andtaking into account their hardware implementation feasibility,either on a FPGA or an ASIC, as part of a system for acousticlocalization of mobile agents in industrial environments.
