Analysis of source separation algorithms in industrial acoustic environments
সংরক্ষণ করুন:
| লেখক: | , , , , |
|---|---|
| বিন্যাস: | presentación de congreso |
| প্রকাশনার তারিখ: | 2015 |
| বিবরন: | 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. |
| দেশ: | RepositorioTEC |
| প্রতিষ্ঠান: | Instituto Tecnológico de Costa Rica |
| Repositorio: | RepositorioTEC |
| ভাষা: | Inglés |
| OAI Identifier: | oai:repositoriotec.tec.ac.cr:2238/6943 |
| অনলাইন ব্যবহার করুন: | https://www.scopus.com/inward/record.url?eid=2-s2.0-84945156117&partnerID=40&md5=72998182186ff5845045de39e1c40ab7 https://hdl.handle.net/2238/6943 |
| মুখ্য শব্দ: | Algoritmos Hardware Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science |