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Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications
- Source :
- ICECS
- Publication Year :
- 2013
- Publisher :
- Institute of Electrical and Electronics Engineers Inc., 2013.
-
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. 2013 IEEE. Scopus
- Subjects :
- Reconfigurable
Engineering
IP core
business.industry
Dimensionality reduction
Research
Robust statistics
Pattern recognition
Pre-processing
Identification (information)
Low Power
Embedded system
Pattern recognition algorithms
Pattern recognition (psychology)
Algorithm design
Artificial intelligence
business
Field-programmable gate array
Algorithm
Algorithms
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- ICECS
- Accession number :
- edsair.doi.dedup.....30457509f147957a7ef29ccb26d24646