Custom IP Cores for Robust Data Analysis and Pattern Recognition Algorithms Used in Gas Applications

Amine Ait Si Ali, Abbes Amira, Faycal Bensaali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an overview of a PhD research project, completed tasks and future work. The aim of the research is to contribute to the improvement of gas identification systems at different levels by designing and implementing dedicated IP cores for data analysis, pre-processing, dimensionality reduction and pattern recognition algorithms. This PhD dissertation research is part of an ongoing funded research project by NPRP-Qatar Foundation which consists of the development of a low power reconfigurable self-calibrated multi-sensing platform for gas applications.
Original languageEnglish
Title of host publication2013 IEEE 20TH INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS, AND SYSTEMS (ICECS)
PublisherIEEE
ISBN (Print)978-1-4799-2452-3
DOIs
Publication statusPublished - 2013

Publication series

NameIEEE International Conference on Electronics, Circuits and Systems

Cite this

Ali, A. A. S., Amira, A., & Bensaali, F. (2013). Custom IP Cores for Robust Data Analysis and Pattern Recognition Algorithms Used in Gas Applications. In 2013 IEEE 20TH INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS, AND SYSTEMS (ICECS) (IEEE International Conference on Electronics, Circuits and Systems). IEEE. https://doi.org/10.1109/ICECS.2013.6815348