scholarly journals Compressive dual-comb spectroscopy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Akira Kawai ◽  
Takahiro Kageyama ◽  
Ryoichi Horisaki ◽  
Takuro Ideguchi

AbstractBroadband, high resolution, and rapid measurements of dual-comb spectroscopy (DCS) generate 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 a 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.

2011 ◽  
Vol 7 (S283) ◽  
pp. 458-459
Author(s):  
Jun-ichi Nakashima ◽  
Sun Kwok ◽  
Bosco H. K. Yung ◽  
Yong Zhang ◽  
Nico Koning ◽  
...  

AbstractWe obtained a high-resolution CO map of IRAS 22272+5435 in the CO J = 2–1 line using CARMA. The target exhibits a second biggest angular size of the circumstellar molecular envelope among known 21 μm sources. In the preliminary results, we found that the CO properties of IRAS 22272+5435 is clearly different from those of IRAS 07134+1005, which is another well-investigated 21 μm source. For example, elongations seen in the mid-infrared and CO images are extended in mutually perpendicular directions, although in case of IRAS 07134+1005 the CO feature coincides well with the mid-infrared structure.


2010 ◽  
Vol 56 (4) ◽  
pp. 351-355
Author(s):  
Marcin Rodziewicz

Joint Source-Channel Coding in Dictionary Methods of Lossless Data Compression Limitations on memory and resources of communications systems require powerful data compression methods. Decompression of compressed data stream is very sensitive to errors which arise during transmission over noisy channels, therefore error correction coding is also required. One of the solutions to this problem is the application of joint source and channel coding. This paper contains a description of methods of joint source-channel coding based on the popular data compression algorithms LZ'77 and LZSS. These methods are capable of introducing some error resiliency into compressed stream of data without degradation of the compression ratio. We analyze joint source and channel coding algorithms based on these compression methods and present their novel extensions. We also present some simulation results showing usefulness and achievable quality of the analyzed algorithms.


Author(s):  
Wenhui Xiong ◽  
Chenchen Sha ◽  
Jianping Ding

Abstract With superior capabilities for light manipulation and wavefront shaping, the metasurface recently has caught growing attention. However, the presence of chromatic aberration hinders metasurfaces, especially metalenses, from wider applications. Here, we design a polarization-independent broadband achromatic focusing metalens in the mid-infrared region, which covers continuous bands in 3-5 μm. Numerical simulation shows that different wavelengths can be focused to the same plane with a nearly diffraction-limited resolution, and can achieve an average focusing efficiency of nearly 70% in the whole bandwidth. We expect that our approach can underpin the development of integrated and mid-infrared imaging and detection.


2009 ◽  
Vol 696 (1) ◽  
pp. 471-483 ◽  
Author(s):  
Claudia Knez ◽  
John H. Lacy ◽  
Neal J. Evans ◽  
Ewine F. van Dishoeck ◽  
Matthew J. Richter

2002 ◽  
Vol 114 (792) ◽  
pp. 153-168 ◽  
Author(s):  
J. H. Lacy ◽  
M. J. Richter ◽  
T. K. Greathouse ◽  
D. T. Jaffe ◽  
Q. Zhu
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document