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

المؤلفAli, Amine Ait Si
المؤلفAmira, Abbes
المؤلفBensaali, Faycal
تاريخ الإتاحة2022-12-29T07:34:42Z
تاريخ النشر2013
اسم المنشورProceedings of the IEEE International Conference on Electronics, Circuits, and Systems
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ICECS.2013.6815348
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37811
الملخصThis 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.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعAlgorithms
Pattern recognition
Dimensionality reduction
IP core
Low Power
Pattern recognition algorithms
Pre-processing
Reconfigurable
Research
العنوانCustom IP cores for robust data analysis and pattern recognition algorithms used in gas applications
النوعConference Paper
الصفحات68-69
dc.accessType Abstract Only


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