Presentation Information

[WP-E-2]Wavelet and CNN-Based Denoising of Digital Coherent Nanoscale Displacement Sensing

○Tianxiang Yuan1,2, Ayumi Ito2, Masanori Hanawa2 (1.Hangzhou Dianzi Univeristy, 2.University of Yamanashi)

Keywords:

Emerging non-telecom applications including sensing and imaging

A phase signal denoising method based on wavelet transformation and CNN self-supervised learning is proposed to denoise nanoscale displacement signals. The spectrum smoothness and measurement accuracy are effectively improved.