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https://scidar.kg.ac.rs/handle/123456789/11470| Title: | Online identification of unknown system in adaptive filtering laboratory |
| Authors: | Damnjanović Đorđe     Krneta, Radojka Živković D. |
| Issue Date: | 2017 |
| Abstract: | © 2017 IEEE. This paper presents realization of adaptive filtering laboratory aimed to identification of unknown system. Whole process is realized by using LabVIEW software package and it can be controlled online through CEyeClon viewer. Application provides learning curves for used adaptive algorithm and records all results in the form of Excel report on the server side of experiment. Report can be sent automatically to the e-mail address defined by user at the beginning of experiment. Whole documentation of experiment is provided to the user within CEyeClon viewer. |
| URI: | https://scidar.kg.ac.rs/handle/123456789/11470 |
| Type: | conferenceObject |
| DOI: | 10.1109/EXPAT.2017.7984349 |
| SCOPUS: | 2-s2.0-85027839787 |
| Appears in Collections: | Faculty of Technical Sciences, Čačak |
 | Page views(s)470 | Downloads(s)18 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PaperMissing.pdf Restricted Access | 29.86 kB | Adobe PDF |  View/Open |
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