Abstract: An ultra-wideband electromagnetic band gap (EBG) structure includes multiple EBG units in an array. Each EBG unit includes a power plane, a dielectric substrate and a ground plane from top to bottom. The power plane includes a patch, a coupled complementary split ring resonator (C-CSRR) and a plurality of semi-improved Z-bridge structures. Each edge of the patch is provided with a semi-improved Z-bridge structure. The C-CSRR is provided within a ring formed by the semi-improved Z-bridge structures. The Z-bridge structure includes a first horizontal branch, a first vertical branch, a second horizontal branch and a second vertical branch connected in sequence. The second vertical branch is connected to the patch. First horizontal branches of adjacent EBG units are connected to each other. A circuit board including the aforementioned EBG structure is also provided.

Abstract: Disclosed is a method for qualitative and quantitative determination of key substances in mixture based on terahertz spectrum. Terahertz spectrum of a reference mixture is trained through an SVR algorithm, and predicting parameters of key substances in the mixture to be determined after a model is generated. According to the method, an initial pure spectrum corresponding to each composition in the mixture does not need to be separately determined, no limitation on the number of samples contained in the mixture, and no limitation on frequency range to be determined, and the proportion requirement of the mixture in the early test stage is not limited, and the SVR model does not need to be re-trained after a database is formed in the later stage, and the result can be obtained immediately after the spectrum of item to be determined is introduced into the algorithm model.

Abstract: A method for quantitative detection of blood lipid in blood based on terahertz spectroscopy, including: matching the terahertz spectral absorption coefficient curves of blood samples obtained in step 3 with parameters of component concentration and component type of the blood lipid detected by hospital instruments, and establishing a terahertz blood lipid parameter database by combining the time-domain signal data of samples of the triglyceride and cholesterol; determining parameters of a support vector regression (SVR) model; performing a training with the training set as input to the SVR model to obtain a support vector and a corresponding weight; and testing the test set of an unknown blood sample using the trained support vector and the corresponding weight.

Abstract: A method for quantitative detection of blood lipid in blood based on terahertz spectroscopy, including: matching the terahertz spectral absorption coefficient curves of blood samples obtained in step 3 with parameters of component concentration and component type of the blood lipid detected by hospital instruments, and establishing a terahertz blood lipid parameter database by combining the time-domain signal data of samples of the triglyceride and cholesterol; determining parameters of a support vector regression (SVR) model; performing a training with the training set as input to the SVR model to obtain a support vector and a corresponding weight; and testing the test set of an unknown blood sample using the trained support vector and the corresponding weight.

Abstract: Disclosed is a method for qualitative and quantitative determination of key substances in mixture based on terahertz spectrum. Terahertz spectrum of a reference mixture is trained through an SVR algorithm, and predicting parameters of key substances in the mixture to be determined after a model is generated. According to the method, an initial pure spectrum corresponding to each composition in the mixture does not need to be separately determined, no limitation on the number of samples contained in the mixture, and no limitation on frequency range to be determined, and the proportion requirement of the mixture in the early test stage is not limited, and the SVR model does not need to be re-trained after a database is formed in the later stage, and the result can be obtained immediately after the spectrum of item to be determined is introduced into the algorithm model.