Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications

Ait Si Ali, Amine, Amira, Abbes and Bensaali, Faycal (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, pp. 68-69. ISBN 978-1-4799-2452-3

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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.

Item Type:	Book Section
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	23 Jul 2018 12:18
Last Modified:	11 Oct 2019 19:45
URI:	http://nrl.northumbria.ac.uk/id/eprint/35085

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