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 contributionpeer-review

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 2013
PublisherIEEE
Pages68-69
Number of pages2
ISBN (Electronic)9781479924523
DOIs
Publication statusPublished - Dec 2013
Externally publishedYes
Event2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013 - Abu Dhabi, United Arab Emirates
Duration: 8 Dec 201311 Dec 2013

Conference

Conference2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
CountryUnited Arab Emirates
CityAbu Dhabi
Period8/12/1311/12/13

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