Open AccessArduino Due Implementation of an Algorithm for Blind Source Separation using Matlab Simulink
Author(s) -
Mohcin Mekhfioui,
Rachid Elgouri,
Amal Satif,
Laamari Hlou
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7385.129219
Subject(s) - arduino , matlab , blind signal separation , computer science , identification (biology) , signal (programming language) , computer hardware , algorithm , source separation , embedded system , operating system , telecommunications , channel (broadcasting) , botany , programming language , biology
This work describes the implementation of an algorithm of the blind source separation in the Adruino Due card as free and low cost material. The algorithm must be developed to adapt the inputs and outputs of the Arduino board to the actual installation. Using reference signals generated by two generators (GBF), this work has proved that the algorithm Second Order Blind Identification (SOBI) is the most efficient to analyze our signal database, so the separation is performed on the Arduino Due using the SOBI algorithm to validate its performance in real time.