Abstract
This paper proposes a hardware/software co-design approach using the Zynq platform for the implementation of an electronic nose (EN) system based on principal component analysis (PCA) as a dimensionality reduction technique and decision tree (DT) as a classification algorithm using a 4x4 in-house fabricated sensor. The system was successfully trained and simulated in MATLAB environment prior to the implementation on the Zynq platform. High level synthesis was carried out on the proposed designs using different optimization directives including loop unrolling, array partitioning and pipelining.
Original language | English |
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Title of host publication | Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 |
Publisher | IEEE |
Number of pages | 1 |
ISBN (Electronic) | 9781509023561 |
DOIs | |
Publication status | Published - 16 Aug 2016 |
Event | 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 - Washington, United States Duration: 1 May 2016 → 3 May 2016 |
Conference
Conference | 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 |
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Country/Territory | United States |
City | Washington |
Period | 1/05/16 → 3/05/16 |