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CrossRef Text and Data Mining |
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CNN based Raman Spectroscopy Algorithm That is Robust to Noise and Spectral Shift |
Jae-Hyeon Park, Hyeong-Geun Yu, Chang Sik Lee, Dong Eui Chang, Dong-Jo Park, Hyunwoo Nam, Byeong Hwang Park |
J. KIMS Technol. 2021;24(3):264-271. Published online June 5, 2021 DOI: https://doi.org/10.9766/KIMST.2021.24.3.264 |
CNN based Raman Spectroscopy Algorithm That is Robust to Noise and Spectral Shift A comparison of noise models in a hybrid reference spectrum and principal components analysis algorithm for Raman spectroscopy Introduction to Modern Raman Spectroscopy I‐New Raman Spectroscopic Branch Classified Based on Spectral Features Sequentially Shifted Excitation Raman Spectroscopy: Novel Algorithm and Instrumentation for Fluorescence-Free Raman Spectroscopy in Spectral Space Robust analysis of multiplexed SERS microscopy of Ag nanocubes using an alternating minimization algorithm An adaptive detection system for Raman spectral peaks at low signal-to-noise ratios Fuzzy Clustering of Raman Spectral Imaging Data with a Wavelet-Based Noise-Reduction Approach Spectral-Warping Based Noise-Robust Enhanced Children ASR System Linear quantification calibration of crystallinity at subpercent and its evaluation based on spectral and spatial information inherited in Raman chemical images Application of FT-Raman and FTIR measurements using a novel spectral reconstruction algorithm |