Compressive Optical Spectrometry Based on Sequency-Ordered Hadamard Transform

Yi Zhang; Jian Kang; Chao-Mao Hsieh; Quan Liu

doi:10.1109/JPHOT.2020.3026829

IEEE Photonics Journal (Jan 2020)

Compressive Optical Spectrometry Based on Sequency-Ordered Hadamard Transform

Yi Zhang,
Jian Kang,
Chao-Mao Hsieh,
Quan Liu

Affiliations

Yi Zhang: ORCiD; School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
Jian Kang: School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
Chao-Mao Hsieh: School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
Quan Liu: ORCiD; School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore

DOI: https://doi.org/10.1109/JPHOT.2020.3026829
Journal volume & issue: Vol. 12, no. 5
pp. 1 – 8

Abstract

Read online

We propose a compressive Hadamard transform spectrometer (CHTS) based on the energy compaction trait of the sequency-ordered Hadamard matrix (SOHM), in which the spectrum is reconstructed from compressed measurements using simple matrix multiplication. The evaluation of a 128-channel CHTS on the measurements of a fluorescence spectrum demonstrates compression ratios up to 8:1, with a relative root mean square error of around 3%.

Published in IEEE Photonics Journal

ISSN: 1943-0655 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics; Science: Physics: Optics. Light
Website: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4563994

About the journal

Abstract

Keywords