Calibration is an important step in the construction of traditional spectrometers to ensure the accuracy of the obtained spectrum. Recent advancements in computational spectroscopy have also spurred the need for calibration with the aid of machine learning to enable the recovery of spectrums, but they generally require large datasets. In this paper, we present an arbitrary spectrum generation engine (ASGE) using a digital micromirror device (DMD) that can be configured to work in a broad wavelength range from visible to the near-infrared. The DMD allows for the independent modulation of spectral elements to output arbitrary spectrums and provide the large datasets required for training and calibration of computational spectrometers. The ASGE can also double as a normal spectrometer if a sampling accessory and a detector are included.
KEYWORDS: Spectroscopy, Spectral resolution, Digital micromirror devices, Near infrared, Infrared spectroscopy, Micromirrors, Matrices, Multiplexing, Signal to noise ratio, Printing
In this paper, we present a doubly-encoded single-pixel Hadamard transform spectrometer that has its spectral resolution decoupled from its throughput. The proof-of-concept is designed in the 1500 nm to 1600 nm near-infrared (NIR) wavelength range and uses a digital micromirror device (DMD) in conjunction with a fixed mask for encoding. The proposed system can easily be extended to other infrared (IR) wavelengths to achieve maximum throughput and multiplexing advantage.
In this paper, we present a single-pixel hyperspectral imager based on Hadamard transformat ion. The imager uses a micromirror array and a resonant scanning mirror to implement spatial and spectral encoding. For a proof of concept, the sensing wavelength of the imager is 450nm to 750nm, but it can easily be applied to the infrared wavelengths. It has high robustness and high frame rate compared with conventional single-pixel hyperspectral imagers. We also introduce a cascading method that can enhance the spatial resolution of the single-pixel hyperspectral imager. Some experimental results are presented in the paper to demonstrate the performance of our proposed system.
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