Thermal Noise-Boosting Effects in Hot-Wire-Based Micro Sensors
作者： Massimo Piotto , Alessandro Catania , Andrea Nannini , Paolo Bruschi
DOI: 10.1155/2020/8523170
关键词: Electrical conductor 、 Flicker noise 、 Noise spectral density 、 Acoustics 、 Model parameters 、 Materials science 、 Dielectric spectroscopy 、 Boosting (machine learning)
摘要: This article proposes an original approach aimed at modelling the noise density in sensors based on a single hot wire or pairs of thermally coupled wires. The model consists combination previous electrothermal with well-established assumptions thermal conductors that carry moderate current densities. A simple method for estimating parameters impedance spectroscopy is suggested. predicted power spectral densities differ from result previously presented analytical models, stimulating further experimental studies. effects feedback both wires and hot-wire flicker also intrinsically covered by proposed approach.
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