Implementation of the RN Method on FPGA using Xilinx System Generator for Nonlinear System Regression
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 6
Abstract
In this paper, we propose a new approach aiming to ameliorate the performances of the regularization networks (RN) method and speed up its computation time. A considerable rapidity in totaling calculation time and high performance were accomplished through conveying difficult calculation charges to FPGA. Using Xilinx System Generator, a successful HW/SW Co-Design was constructed to accelerate the Gramian matrix computation. Experimental results involving two real data sets of Wiener-Hammerstein benchmark with process noise prove the efficiency of the approach. The implementation results demonstrate the efficiency of the heterogeneous architecture, presenting a speed-up factor of 40-50 orders of time, comparing to the CPU simulation.
Authors and Affiliations
Intissar SAYEHI, Okba TOUALI, T. Saidani, B. Bouallegue, Mohsen MACHHOUT
Keywords
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- EP ID EP259539
- DOI 10.14569/IJACSA.2017.080619
- Views 102
- Downloads 0
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