Abstract: Disclosed are a method and a system for automatically detecting and reconstructing spectrum peaks in near infrared spectrum analysis of tea, including the following steps: firstly collecting initial spectrum data, then initializing parameters, then calculating the position and width of absorption peaks, then updating correlation coefficients and screening sparse blocks, then calculating the cost function and the expectation, then determining termination conditions, and finally outputting reconstruction data.

Abstract: Disclosed is a method for extracting net signal of near infrared spectrum and a system thereof, and relates to the technical field of near infrared spectrum. The method comprises the following steps: collecting a sample to obtain the original data of the near infrared spectrum of the sample; detecting the content of the analyte of interest by using a chemical detection method as a response variable; applying different spectral pre-processing methods and the combination of different spectral pre-processing methods to the original spectral data, and the optimal pre-processing scheme is found by using the ten-fold cross test, and selecting the wave band related to the response variables by using a Least Absolute Shrinkage and Selection Operator (LASSO) algorithm.