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.
|Koska saatavilla||30 huhtik. 2020|
|Tietojen luontipäivämäärä||1 kesäk. 2018|