Research on the spectral reconstruction of a low-dimensional filter array micro-spectrometer based on a truncated singular value decomposition-convex optimization algorithm

Currently, the engineering of miniature spectrometers mainly faces three problems: the mismatch between the number of filters at the front end of the detector and the spectral reconstruction accuracy; the lack of a stable spectral reconstruction algorithm; and the lack of a spectral reconstruction e...

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Vydané v:	IEEE photonics journal Ročník 15; číslo 2; s. 1 - 17
Hlavní autori:	Zhang, Jiakun, Zhang, Liu, Song, Ying, Zheng, Yan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Arrays Computational geometry Convex analysis Convexity Detectors Evaluation Filtering algorithms Information filters Optical filters Optimization Optimization algorithms Random errors Reconstruction Reconstruction algorithms Singular value decomposition Spectral reconstruction Spectral analysis Convex optimization Cross-validation Spectrometers Target detection Trigonometric functions
ISSN:	1943-0655, 1943-0647
On-line prístup:	Získať plný text
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