Deep Neural Network Application in the Phase-Match Calibration of Gas–Microphone Photoacoustics

In this paper, a methodology for the application of neural networks in phase-match calibration of gas–microphone photoacoustics in frequency domain is developed. A two-layer deep neural network is used to determine, in real-time, reliably and accurately, the phase transfer function of the used micro...

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