Terahertz spectrum-based sparse representation classification method for saccharide analysis

Abstract

The invention discloses a terahertz spectrum-based sparse representation classification method for saccharide analysis, and belongs to the technical field of terahertz spectroscopy. The method comprises the following steps of: selecting three saccharides including sucrose, fructose and lactose as samples, and obtaining terahertz THz absorption spectrum characteristics of the saccharide samples; carrying out filtering pretreatment on the THz absorption spectrum data of the saccharides; and carrying out sparse representation on the preprocessed THz absorption spectrum data of the saccharides, namely constructing a sparse representation algorithm model, solving a sparse coefficient matrix of the THz absorption spectrum by adopting an orthogonal matching pursuit (OMP) algorithm, updating a dictionary matrix by adopting a K-SVD algorithm, and carrying out cyclic calculation to obtain sparse coefficient matrixes of the absorption spectrums of the three samples when iteration conditions are met. According to the method, the saccharides are taken as research objects, the sparse coefficient matrix is taken as input of the classification model to obtain time for processing data by the model. Compared with other dimensionality reduction modes, the method greatly shortens operation time, improves the effectiveness of the model efficiency, and realizes sparse high-quality classification of the spectrums of the saccharides.

Description

technical field [0001] The invention relates to a sugar detection method using terahertz spectroscopy, in particular to a sparse representation classification method for sugar analysis based on terahertz spectroscopy, and belongs to the technical field of terahertz spectroscopy. Background technique [0002] Terahertz wave (THz) is an electromagnetic wave with a frequency between 0.1THz and 10THz and a wavelength between 3mm and 0.03mm. The location of THz wave is unique, it has some characteristics of both microwave and infrared, has good perspective, safety and spectral resolution, and has the advantages of molecular fingerprint characteristics, low energy and strong penetrability. THz technology has been used in many fields, such as aerospace, biomedicine, safety testing, material performance analysis, etc.; the application in the field of agricultural products and food safety is also increasing, such as agricultural products and food moisture content testing, food intern...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problems that the existing terahertz time-domain spectroscopy algorithm for qualitative analysis of sugars needs a lot of calculations when processing data, and the model classification time is long and the complexity is high, and to provide a method based on terahertz spectroscopy for sugar The sparse representation classification method of class analysis introduces sparse representation into the field of THz spectrum to reduce the dimensionality of data, so that the modeling and analysis of THz spectrum is faster and more accurate, and the data is expressed as concisely as possible

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