Volume 31, Issue 3, December 2020, Pages 587–592
Khalifa Elmansouri1, Mohamed Abouzahir2, and Aziz Et-Tahir3
1 UM6SS, ESGB, Casablanca, Morocco
2 High School of Technology Mohamed V University, Rabat, Morocco
3 High School of Technology Mohamed V University, Rabat, Morocco
Original language: English
Copyright © 2020 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The traditional de-noising method used by classical hardware equipments can’t achieve successful de-noising effect and the software-only method never meets a high real time capability. Based on the Undecimated Wavelet Transform (UWT) which is an effective technique for de-noising signals corrupted by non-stationary noises, we propose implementing the UWT method on the field programmable gate array (FPGA) to realize a digital electronic circuit to de-noise the airflow of mechanical ventilation. The experiment results obtained was done regarding signal to noise ratio (SNR) and the requirement of real-time signal processing.
Author Keywords: FPGA, Wavelet decomposition, LabVIEW, Computer hardware.
Khalifa Elmansouri1, Mohamed Abouzahir2, and Aziz Et-Tahir3
1 UM6SS, ESGB, Casablanca, Morocco
2 High School of Technology Mohamed V University, Rabat, Morocco
3 High School of Technology Mohamed V University, Rabat, Morocco
Original language: English
Copyright © 2020 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The traditional de-noising method used by classical hardware equipments can’t achieve successful de-noising effect and the software-only method never meets a high real time capability. Based on the Undecimated Wavelet Transform (UWT) which is an effective technique for de-noising signals corrupted by non-stationary noises, we propose implementing the UWT method on the field programmable gate array (FPGA) to realize a digital electronic circuit to de-noise the airflow of mechanical ventilation. The experiment results obtained was done regarding signal to noise ratio (SNR) and the requirement of real-time signal processing.
Author Keywords: FPGA, Wavelet decomposition, LabVIEW, Computer hardware.
How to Cite this Article
Khalifa Elmansouri, Mohamed Abouzahir, and Aziz Et-Tahir, “FPGA Based on airflow Noise Cancelling of mechanical ventilation,” International Journal of Innovation and Applied Studies, vol. 31, no. 3, pp. 587–592, December 2020.
