Analysis of source separation algorithms in industrial acoustic environments

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書誌詳細
著者:	Lozano, Clevis, Gómez, Andrés, Chacón-Rodríguez, Alfonso, Merchán, Fernando, Julián, Pedro
フォーマット:	presentación de congreso
出版日付:	2015
その他の書誌記述:	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.
国:	RepositorioTEC
機関:	Instituto Tecnológico de Costa Rica
Repositorio:	RepositorioTEC
言語:	Inglés
OAI Identifier:	oai:repositoriotec.tec.ac.cr:2238/6943
オンライン･アクセス:	https://www.scopus.com/inward/record.url?eid=2-s2.0-84945156117&partnerID=40&md5=72998182186ff5845045de39e1c40ab7 https://hdl.handle.net/2238/6943
キーワード:	Algoritmos Hardware Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science