Jiajia Wang, Qianqian Mo, Tao Yang. Deep Learning-Based Disordered-Dispersion Miniature Spectrometer[J]. Laser & Optoelectronics Progress, 2025, 62(5): 0530001

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- Laser & Optoelectronics Progress
- Vol. 62, Issue 5, 0530001 (2025)

Fig. 1. DL-based disordered-dispersion miniature spectrometer

Fig. 2. Rough surface of frosted glass

Fig. 3. Speckle intensity under different wavelength monochromatic light illumination. (a) 514 nm; (b) 516 nm; (c) their normalized intensity difference

Fig. 4. Normalized spectra of 8 LEDs

Fig. 5. MLP neural network framework

Fig. 6. Loss function (MSE) decline curve with increasing training epochs

Fig. 7. Spectral reconstruction results of the spectrometer. (a) Reconstruction of 6 narrowband spectra with different wavelength; (b) reconstruction of 2 broadband spectra at different times; (c) reconstruction of 2 close narrowband spectra; (d) comparison of spectral reconstruction using Tikhonov regularization and MLP neural network

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