Analysis of source separation algorithms in industrial acoustic environments

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书目详细资料
Autores:	Lozano, Clevis, Gómez, Andrés, Chacón-Rodríguez, Alfonso, Merchán, Fernando, Julián, Pedro
格式:	presentación de congreso
Fecha de Publicación:	2015
实物特征:	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.
País:	RepositorioTEC
机构:	Instituto Tecnológico de Costa Rica
Repositorio:	RepositorioTEC
语言:	Inglés
OAI Identifier:	oai:repositoriotec.tec.ac.cr:2238/6943
在线阅读:	https://www.scopus.com/inward/record.url?eid=2-s2.0-84945156117&partnerID=40&md5=72998182186ff5845045de39e1c40ab7 https://hdl.handle.net/2238/6943
Palabra clave:	Algoritmos Hardware Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science