偏移量(计算机科学)
小波
太赫兹辐射
基线(sea)
多分辨率分析
小波变换
计算机科学
光学
物理
人工智能
离散小波变换
地质学
海洋学
程序设计语言
作者
Weihua Xiong,Yufei Jiang,Xiaotong Huang,Lixian Cao
标识
DOI:10.1088/1402-4896/ad7bf4
摘要
Abstract During the terahertz nondestructive testing of bonded structures, the incomplete discharge of the capacitance in the photoconductive antenna within the terahertz time-domain spectroscopy system results in a shift of the terahertz baseline produced by the antenna. This baseline shift causes variations in the amplitude information of the detected signals.
Consequently, when feature imaging of the detection waveforms is performed, the baseline shift can lead to erroneous detection results. In this study, an improved wavelet multiresolution analysis method was used to eliminate high-frequency noise and baseline offset in terahertz detection. The method is based on the frequency characteristics of the detection waveforms, setting thresholds and using similarity as a measurement standard to determine the number of decomposition layers. Ultimately, this achieves the correction of the baseline offset in terahertz signals. Compared with other baseline correction methods, the method presented in this paper achieves the lowest root mean square error of 0.57%, the highest signal-to-noise ratio of 12.64%, and a defect identification accuracy of 96.27% in two-dimensional visualization results.
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