Analysis of source separation algorithms in industrial acoustic environments
Đã lưu trong:
| Nhiều tác giả: | , , , , |
|---|---|
| Định dạng: | presentación de congreso |
| Ngày xuất bản: | 2015 |
| Miêu tả: | 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. |
| Quốc gia: | RepositorioTEC |
| Tổ chức giáo dục: | Instituto Tecnológico de Costa Rica |
| Repositorio: | RepositorioTEC |
| Ngôn ngữ: | Inglés |
| OAI Identifier: | oai:repositoriotec.tec.ac.cr:2238/6943 |
| Truy cập trực tuyến: | https://www.scopus.com/inward/record.url?eid=2-s2.0-84945156117&partnerID=40&md5=72998182186ff5845045de39e1c40ab7 https://hdl.handle.net/2238/6943 |
| Từ khóa: | Algoritmos Hardware Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science |