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20250165556. Curvature-based Signal Segmentation Method Solar-blind Ultraviolet Photode (Chongqing University of Posts and Telecommunications)

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CURVATURE-BASED SIGNAL SEGMENTATION METHOD FOR SOLAR-BLIND ULTRAVIOLET PHOTODETECTORS

Abstract: the present disclosure relates to a curvature-based signal segmentation method for solar-blind ultraviolet (uv) photodetectors, including the steps of: collecting solar-blind uv radiation using solar-blind uv photodetectors according to a preset sampling time and generating the same into sampled signals; performing noise reduction on the sampled signals to generate filtered signals using a fractional calculus digital filter; calculating estimated curvatures of the filtered signals using a method of circle fitting by discrete points, and numerically optimizing the estimated curvatures using an exponential function to obtain curvature vectors of the filtered signals; and calculating weight coefficients and weighting the filtered signals using a moving average filter function and a binarization method according to the curvature vectors.

Inventor(s): Jiufei Luo, Wei Liu, Sheng Lu, Song Feng, Haiqing Li, Hai Zeng, Hongcheng Li, Xinyu Wang, Baojun Yang, Denghua Zheng

CPC Classification: G06F17/16 (Matrix or vector computation {, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization (matrix transposition )})

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