论文标题
压缩双弯曲光谱
Compressive dual-comb spectroscopy
论文作者
论文摘要
双弯曲光谱（DC）的宽带，高分辨率和快速测量会产生大量数据流。我们通过使用压缩感应技术来显示DCS光谱的显着数据压缩。我们的数值模拟显示，在宽带（〜30 THz）中的两个分子物种的中红外（miR）DC的摩尔分数估计中，压缩率超过100，误差为3％，高分辨率（〜115 MHz）的误差。我们还以数值证明，可以以10.5的压缩速率重建10种不同分子物种的大量平行miR DCS光谱，而原始光谱的透射率为0.003。
Broadband, high resolution and rapid measurement of dual-comb spectroscopy (DCS) generates a large amount of data stream. We numerically demonstrate significant data compression of DCS spectra by using a compressive sensing technique. Our numerical simulation shows a compression rate of more than 100 with 3% error in mole fraction estimation of mid-infrared (MIR) DCS of two molecular species in a broadband (~30 THz) and high resolution (~115 MHz) condition. We also numerically demonstrate a massively parallel MIR DCS spectrum of 10 different molecular species can be reconstructed with a compression rate of 10.5 with a transmittance error of 0.003 from the original spectrum.
