Sparsity for Ultrafast Material Identification
Instrumentation and Detectors
2022-12-27 v1 Optics
Abstract
Mid-infrared spectroscopy is often used to identify material. Thousands of spectral points are measured in a time-consuming process using expensive table-top instrument. However, material identification is a sparse problem, which in theory could be solved with just a few measurements. Here we exploit the sparsity of the problem and develop an ultra-fast, portable, and inexpensive method to identify materials. In a single-shot, a mid-infrared camera can identify materials based on their spectroscopic signatures. This method does not require prior calibration, making it robust and versatile in handling a broad range of materials.
Cite
@article{arxiv.2212.13122,
title = {Sparsity for Ultrafast Material Identification},
author = {Yurui Qu and Qingyi Zhou and Jin Xiang and Zongfu Yu},
journal= {arXiv preprint arXiv:2212.13122},
year = {2022}
}