!!Research output per year
!!Research output per year
Description
The repository contains experimental data for RSS-based DFLT from an open indoor environment and from a downtown residential apartment. In addition, Matlab code is included to perform filtering, smoothing and parameter estimation algorithms to enable unsupervised learning in RSS-based DFLT Using an expectation maximization algorithm.
The title and description of this software/code correspond with the situation when the software metadata was imported to ACRIS. The most recent version of metadata is available in the original repository.
The title and description of this software/code correspond with the situation when the software metadata was imported to ACRIS. The most recent version of metadata is available in the original repository.
| Koska saatavilla | 30 huhtik. 2020 |
|---|---|
| Julkaisija | GitHub |
| Tietojen luontipäivämäärä | 1 kesäk. 2018 |
Dataset Licences
- Unspecified
Tutkimustuotos
- 1 Article
-
Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm
Kaltiokallio, O., Hostettler, R., Yiğitler, H. & Valkama, M., 18 elok. 2021, julkaisussa: Sensors. 21, 16, 24 Sivumäärä, 5549.Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu
Open accessTiedosto6 Sitaatiot (Scopus)89 Lataukset (Pure)
Projektit
- 1 Päättynyt
-
RFI: Narrow-band RF Inference (RFI) - Kapeakaistainen RF Inferenssi (RFI)
Jäntti, R. (Vastuullinen johtaja), Fellan, A. (Projektin jäsen), Kaltiokallio, O. (Projektin jäsen) & Ali, Y. (Projektin jäsen)
01/09/2016 → 31/08/2020
Projekti: Academy of Finland: Other research funding
Siteeraa tätä
- DataSetCite