Nonlocal low-rank-based blind deconvolution of Raman spectroscopy for automatic target recognition-Reference-Cited by-同舟云学术

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Nonlocal low-rank-based blind deconvolution of Raman spectroscopy for automatic target recognition

Published:2018-07-26 Issue:22 Volume:57 Page:6461
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Liu Tingting^ORCID,Liu Hai^ORCID,Zhang Zhaoli,Liu Sanya

Funder

National Natural Science Foundation of China (NSFC)

Hong Kong Scholars Programs

Natural Science Foundation of Hubei Province

National Key Research and Development Program

Specific Funding for Education Science Research by Self-determined Research Funds of CCNU

Cultivating Excellent Doctoral Dissertations Program of CCNU

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference40 articles.

1. Accurate and rapid detection of soil and fertilizer properties based on visible/near-infrared spectroscopy

2. Automated decomposition algorithm for Raman spectra based on a Voigt line profile model

3. Artificial-Intelligence Approach for Biomedical Sample Characterization Using Raman Spectroscopy

4. Near-Infrared Ag2S Quantum Dots-Based DNA Logic Gate Platform for miRNA Diagnostics

5. Detection and characterization of chemical aerosol using laser-trapping single-particle Raman spectroscopy

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