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Terahertz time domain signal noise reduction method, image reconstruction method and system

A terahertz time-domain and terahertz technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as unsatisfactory noise reduction effects, achieve the effect of solving modal aliasing and improving signal-to-noise ratio

Pending Publication Date: 2022-04-22
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

[0006] In view of the defects of related technologies, the purpose of the present invention is to provide a terahertz time-domain signal noise reduction method, image reconstruction method and system, aiming at solving the unsatisfactory noise reduction effect caused by modal mixing in terahertz spectrum detection and imaging applications The problem

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  • Terahertz time domain signal noise reduction method, image reconstruction method and system

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[0040] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0041] The present invention proposes a method for denoising terahertz time-domain signals based on empirical mode decomposition, threshold filtering and independent component analysis, the steps comprising:

[0042] 1) Acquiring the noise-containing terahertz time-domain signal of the sample under test;

[0043] 2) Decompose the noise-containing terahertz time-domain signal through empirical mod...

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Abstract

The invention discloses a terahertz time domain signal noise reduction method, an image reconstruction method and a system, and belongs to the field of terahertz signal processing and image reconstruction. Noise-containing modes obtained through empirical mode decomposition are screened through a threshold value filtering method to obtain a virtual noise channel, then noise-containing signals are separated into noise and noise-reduced signals through independent component analysis, the mode aliasing problem existing in empirical mode decomposition is well solved, and compared with an existing method, the method has the advantages that the noise-containing modes obtained through empirical mode decomposition are screened, and the noise-containing signals are obtained. And the signal-to-noise ratio of the signal after noise reduction is greatly improved. When the method is further used for imaging, compared with an existing imaging method, the imaging signal-to-noise ratio and the contrast ratio are remarkably improved.

Description

technical field [0001] The invention belongs to the field of terahertz signal processing and image reconstruction, and more specifically relates to a terahertz time-domain signal noise reduction method, image reconstruction method and system. Background technique [0002] Terahertz has the characteristics of no ionization and no damage. The vibration and rotational energy levels of various organic molecules fall in the terahertz band. Combined use with other technologies. Terahertz spectroscopy detection and imaging technology has broad application prospects in the study of biological macromolecular properties, medical diagnosis, security inspection, material detection and environmental monitoring. The terahertz time-domain signal of the tested sample collected by the terahertz time-domain spectroscopy system can reflect the amplitude and phase information of the terahertz pulse, and can extract the photoelectric properties of the tested sample in the terahertz band. Furth...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/04G06F18/2135
Inventor 张锐鲁远甫谷孟阳刘文权鲁叶龙
Owner SHENZHEN INST OF ADVANCED TECH
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