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Analysis of source separation algorithms in industrial acoustic environments

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, an...

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Autores Principales:	Lozano, Clevis, Gómez, Andrés, Chacón-Rodríguez, Alfonso, Merchán, Fernando, Julián, Pedro
Formato:	Objeto de conferencia
Idioma:	Inglés
Publicado:	Institute of Electrical and Electronics Engineers Inc. 2017
Materias:	Algoritmos Hardware Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science
Acceso en línea:	https://www.scopus.com/inward/record.url?eid=2-s2.0-84945156117&partnerID=40&md5=72998182186ff5845045de39e1c40ab7 https://hdl.handle.net/2238/6943

id	RepoTEC6943
recordtype	dspace
spelling	RepoTEC69432022-04-09T03:05:37Z Analysis of source separation algorithms in industrial acoustic environments Lozano, Clevis Gómez, Andrés Chacón-Rodríguez, Alfonso Merchán, Fernando Julián, Pedro Algoritmos Hardware Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science 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. 2017-04-05T17:34:55Z 2017-04-05T17:34:55Z 2015 info:eu-repo/semantics/conferenceObject https://www.scopus.com/inward/record.url?eid=2-s2.0-84945156117&partnerID=40&md5=72998182186ff5845045de39e1c40ab7 978-147998332-2 https://hdl.handle.net/2238/6943 eng Attribution-NonCommercial 3.0 Costa Rica https://creativecommons.org/licenses/by-nc/3.0/cr/ application/pdf Institute of Electrical and Electronics Engineers Inc. C. Lozano, A. Gómez, A. Chacón-Rodríguez, F. Merchán, & P. Julian. (2015). Analysis of source separation algorithms in industrial acoustic environments. Paper presented at the 2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS), 1-4. doi:10.1109/LASCAS.2015.7250482
institution	Tecnológico de Costa Rica
collection	Repositorio TEC
language	Inglés
topic	Algoritmos Hardware Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science
spellingShingle	Algoritmos Hardware Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science Lozano, Clevis Gómez, Andrés Chacón-Rodríguez, Alfonso Merchán, Fernando Julián, Pedro Analysis of source separation algorithms in industrial acoustic environments
description	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.
format	Objeto de conferencia
author	Lozano, Clevis Gómez, Andrés Chacón-Rodríguez, Alfonso Merchán, Fernando Julián, Pedro
author_sort	Lozano, Clevis
title	Analysis of source separation algorithms in industrial acoustic environments
title_short	Analysis of source separation algorithms in industrial acoustic environments
title_full	Analysis of source separation algorithms in industrial acoustic environments
title_fullStr	Analysis of source separation algorithms in industrial acoustic environments
title_full_unstemmed	Analysis of source separation algorithms in industrial acoustic environments
title_sort	analysis of source separation algorithms in industrial acoustic environments
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2017
url	https://www.scopus.com/inward/record.url?eid=2-s2.0-84945156117&partnerID=40&md5=72998182186ff5845045de39e1c40ab7 https://hdl.handle.net/2238/6943
_version_	1796140535589634048
score	12.043273

Analysis of source separation algorithms in industrial acoustic environments

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