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Jingjing Wen

1 accepted papers

2019

Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration

ICASSP 2019accepted

Special high-end sensors with expensive hardware are usually needed to measure shock signals with high accuracy. In this paper, we show that cheap low-end sensors calibrated by deep neural networks are also capable to measure high-g shocks accurately. Firstly we perform drop shock tests to collect a…

Cited by 0SourceScholar