Name
Abstract | ||
|---|---|---|
Nowadays, the growth of Industry 4.0 and Internet of Things (IoT) demands new solutions for designing low-power low-cost advanced computational algorithms. This work develops the sensor signal processing layer of a chemical biosensing IoT edge device using NanoPillar transducers. We propose to move from smart sensors to expert sensors, applying Principal Component Analysis (PCA) for dimensionality reduction in FPGAs. As a result, this paper provides a design space exploration of PCA implementation over FPGAs, studying parameters as throughput and resource usage. |
Year | Venue | Field |
|---|---|---|
2018 | ISCAS | Signal processing,Computer architecture,Dimensionality reduction,Computer science,Internet of Things,Field-programmable gate array,Electronic engineering,Edge device,Throughput,Design space exploration,Principal component analysis |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo Marino | 1 | 0 | 0.34 |
| José Manuel Lanza-Gutiérrez | 2 | 71 | 9.31 |
| Riesgo, T. | 3 | 15 | 3.61 |
| Miguel Holgado | 4 | 9 | 5.09 |