[WP-E] Poster Session 2

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

○Tianxiang Yuan^1,2, Ayumi Ito², Masanori Hanawa², Zhu Li¹ (¹Hangzhou Dianzi Univ., ²Univ. 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.