Analysis of source separation algorithms in industrial acoustic environments

Clevis Lozano; Andrés Gómez; Alfonso Chacón-Rodríguez; Fernando Merchán; Pedro Julian

doi:10.1109/LASCAS.2015.7250482

Analysis of source separation algorithms in industrial acoustic environments

Clevis Lozano, Andrés Gómez, Alfonso Chacón-Rodríguez, Fernando Merchán, Pedro Julian

Escuela de Ingeniería Electrónica

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings
Editores	Alfredo Arnaud, Fernando Silveira, Lorena Garcia
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781479983322
DOI	https://doi.org/10.1109/LASCAS.2015.7250482
Estado	Publicada - 9 sept 2015
Evento	6th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2015 - Montevideo, Uruguay Duración: 24 feb 2015 → 27 feb 2015

Serie de la publicación

Nombre	2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings

Conferencia

Conferencia	6th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2015
País/Territorio	Uruguay
Ciudad	Montevideo
Período	24/02/15 → 27/02/15

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10.1109/LASCAS.2015.7250482

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Lozano, C., Gómez, A., Chacón-Rodríguez, A., Merchán, F., & Julian, P. (2015). Analysis of source separation algorithms in industrial acoustic environments. En A. Arnaud, F. Silveira, & L. Garcia (Eds.), 2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings Artículo 7250482 (2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LASCAS.2015.7250482

Lozano, Clevis ; Gómez, Andrés ; Chacón-Rodríguez, Alfonso et al. / Analysis of source separation algorithms in industrial acoustic environments. 2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings. editor / Alfredo Arnaud ; Fernando Silveira ; Lorena Garcia. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings).

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title = "Analysis of source separation algorithms in industrial acoustic environments",

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.",

keywords = "acoustic localization, Adaptive Algorithm Based on Natural Gradient, Adaptive EASI Based on Relative Gradient, Blind Source Separation (BSS), FastICA, FPGA",

author = "Clevis Lozano and Andr{\'e}s G{\'o}mez and Alfonso Chac{\'o}n-Rodr{\'i}guez and Fernando Merch{\'a}n and Pedro Julian",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 6th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2015 ; Conference date: 24-02-2015 Through 27-02-2015",

year = "2015",

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series = "2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings",

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Lozano, C, Gómez, A, Chacón-Rodríguez, A, Merchán, F & Julian, P 2015, Analysis of source separation algorithms in industrial acoustic environments. En A Arnaud, F Silveira & L Garcia (eds.), 2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings., 7250482, 2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 6th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2015, Montevideo, Uruguay, 24/02/15. https://doi.org/10.1109/LASCAS.2015.7250482

Analysis of source separation algorithms in industrial acoustic environments. / Lozano, Clevis; Gómez, Andrés; Chacón-Rodríguez, Alfonso et al.
2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings. ed. / Alfredo Arnaud; Fernando Silveira; Lorena Garcia. Institute of Electrical and Electronics Engineers Inc., 2015. 7250482 (2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Analysis of source separation algorithms in industrial acoustic environments

AU - Lozano, Clevis

AU - Gómez, Andrés

AU - Chacón-Rodríguez, Alfonso

AU - Merchán, Fernando

AU - Julian, Pedro

PY - 2015/9/9

Y1 - 2015/9/9

N2 - 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.

AB - 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.

KW - acoustic localization

KW - Adaptive Algorithm Based on Natural Gradient

KW - Adaptive EASI Based on Relative Gradient

KW - Blind Source Separation (BSS)

KW - FastICA

KW - FPGA

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U2 - 10.1109/LASCAS.2015.7250482

DO - 10.1109/LASCAS.2015.7250482

M3 - Contribución a la conferencia

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T3 - 2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings

BT - 2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings

A2 - Arnaud, Alfredo

A2 - Silveira, Fernando

A2 - Garcia, Lorena

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2015

Y2 - 24 February 2015 through 27 February 2015

ER -

Lozano C, Gómez A, Chacón-Rodríguez A, Merchán F, Julian P. Analysis of source separation algorithms in industrial acoustic environments. En Arnaud A, Silveira F, Garcia L, editores, 2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. 7250482. (2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings). doi: 10.1109/LASCAS.2015.7250482

Analysis of source separation algorithms in industrial acoustic environments

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