FPGA Based on airflow Noise Cancelling of mechanical ventilation

FPGA Based on airflow Noise Cancelling of mechanical ventilation

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 corrup...

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Veröffentlicht in:International journal of innovation and applied studies 2020-12, Vol.31 (3), p.587-592
Hauptverfasser: Elmansouri, Khalifa, Abouzahir, Mohamed, Et-Tahir, Aziz
Format: Artikel
Sprache:eng
Schlagworte:
Air flow
Algorithms
Approximation
Circuits
Computer peripherals
Critical path
Decomposition
Electronic circuits
Embedded systems
Field programmable gate arrays
Noise
Power
Real time
Signal processing
Signal to noise ratio
Ventilation
Ventilators
Wavelet transforms
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Zusammenfassung: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.
ISSN:2028-9324