Name
Abstract | ||
|---|---|---|
This paper shows the results from the computation cost evaluation of three blind source separation algorithms. The algorithms tested were: FastICA, Adaptive Algorithm Based on Natural Gradient, and Adaptive EASI Based on Relative Gradient. The algorithms were chosen for their relative simplicity, and taking into account their hardware implementation feasibility, either on a FPGA or an ASIC, as part of a system for acoustic localization of mobile agents in industrial environments. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LASCAS.2015.7250482 | 2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS) |
Keywords | Field | DocType |
Blind Source Separation (BSS),FastICA,Adaptive Algorithm Based on Natural Gradient,Adaptive EASI Based on Relative Gradient,FPGA,acoustic localization | Computer science,Cost evaluation,Algorithm,Field-programmable gate array,Electronic engineering,Application-specific integrated circuit,FastICA,Adaptive algorithm,Blind signal separation,Source separation,Computation | Conference |
ISSN | Citations | PageRank |
2330-9954 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| clevis lozano | 1 | 0 | 0.34 |
| a gomez | 2 | 0 | 0.34 |
| Alfonso Chacon-rodriguez | 3 | 8 | 5.53 |
| Fernando Merchan | 4 | 7 | 3.17 |
| Pedro Julian | 5 | 11 | 4.41 |