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Your search keyword '"Li, Xihai"' showing total 24 results
Start Over Author "Li, Xihai" Publisher elsevier bv
24 results on '"Li, Xihai"'

2. Confirmation of pain-related neuromodulation mechanism of Bushen Zhuangjin Decoction on knee osteoarthritis

Author

Tan, Xue, primary, Zheng, Danhao, additional, Lin, Qing, additional, Wang, Lili, additional, Zhu, Zaishi, additional, Huang, Yanfeng, additional, Lin, Jiaqiu, additional, Zeng, Yihui, additional, Mao, Min, additional, Yi, Zhouping, additional, Liu, Linglong, additional, Ma, Dezun, additional, Wang, Jie, additional, and Li, Xihai, additional

Published
2024
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6. Confirmation of Pain-Related Neuromodulation Mechanism of Bushen Zhuangjin Decoction on Knee Osteoarthritis

Author

Tan, Xue, primary, Zheng, Danhao, additional, Lin, Qin, additional, Wang, Lili, additional, Zhu, Zaishi, additional, Huang, Yanfeng, additional, Lin, Jiaqiu, additional, Zeng, Yihui, additional, Mao, Min, additional, Yi, Zhouping, additional, Liu, Linlong, additional, Ma, Dezun, additional, Wang, Jie, additional, and Li, Xihai, additional

Published
2023
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10. Verification of pain-related neuromodulation mechanisms of icariin in knee osteoarthritis

Author

Li, Xihai, primary, Xu, Yunteng, additional, Li, Hui, additional, Jia, Liangliang, additional, Wang, Jie, additional, Liang, Shengxiang, additional, Cai, Aoling, additional, Tan, Xue, additional, Wang, Lili, additional, Wang, Xiaoning, additional, Huang, Yanfeng, additional, Tao, Enxiang, additional, Ye, Hongzhi, additional, and Asakawa, Tetsuya, additional

Published
2021
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16. Simultaneous potential field data interpolation, border padding, and denoising via projection onto convex sets algorithm

Author

Chao Niu, Li Xihai, Liu Jihao, and Zeng Xiaoniu

Subjects
010504 meteorology & atmospheric sciences, Noise (signal processing), Iterative method, Computer science, Noise reduction, Filter (signal processing), 010502 geochemistry & geophysics, 01 natural sciences, Padding, Geophysics, Transformation (function), Projection (set theory), Algorithm, 0105 earth and related environmental sciences, Interpolation
Abstract

Gravity and magnetic measurement data often contain gaps and significant noise interference and must therefore be interpolated and border-padded prior to processing and transformation in the wavenumber domain. The primary cause of much processing and transformation instability is high-frequency noise interference. Conventional processing methods generally perform interpolation, border-padding, and denoising independently; in this study, we apply a unified approach to implement these three tasks and propose an iterative method for applying them based on the projection onto a convex sets method. The proposed iterative method first fills the vacancies and border of the original potential field data with zeros and determines a final cutoff wavenumber for the iteration by applying fractal model fits of the radial average power spectrum of the zero-padding data. The iteration steps are then performed by applying a simple ideal low-pass filter in the wavenumber domain until the predetermined iteration number is attained. Numerical examples involving synthetic gravity and real aeromagnetic data demonstrate that the proposed iterative method is simple in principle, easy to carry out, and has a high interpolation and denoising accuracy with smooth and distortion-free interfaces between the interpolation and border-padding results. The proposed method has evident advantages in terms of precision and speed relative to classical interpolation-based border padding, denoising, and combined methods.

Published
2020

19. Iterative Wiener filter for unstable linear transformations of potential field data

Author

Li Xihai, Weimin Jia, Zeng Xiaoniu, Daizhi Liu, and Dingxin Chen

Subjects
Mathematical optimization, Wiener filter, Wiener deconvolution, Spectral density, Filter (signal processing), Reduction (complexity), Tikhonov regularization, Noise, symbols.namesake, Geophysics, Transformation (function), symbols, Applied mathematics, Mathematics
Abstract

There are many unstable linear transformations in the processing and interpretation of potential field data, such as, derivatives, reduction to the pole at low latitudes, and downward continuation. They all have the tendency to amplify the noise content in the original data. By means of the Wiener filter theory it is possible to derive optimum transformation filters for these processing technologies in the wavenumber domain. However, the realization of these optimum filters is difficult because they need to know the noise-to-signal power ratio. In this paper, we use iterative Wiener filter (IWF) to solve this problem. First, a noise variance estimation method is proposed based on the annular averaged power spectrum of potential field data. Then, we use the discrepancy principle to choose the regularization parameter for the regularized filter which is an approximation of Wiener filter. After that, the regularized transformation result is used as the initial value of IWF algorithm. Finally, a correction term is used to update the power spectrum estimation of the desired potential field data. Synthetic and field examples show that the proposed IWF algorithm yields better transformation results than the regularized method and has a stable convergence.

Published
2015

20. An improved regularized downward continuation of potential field data

Author

Dingxin Chen, Li Xihai, Chao Niu, Zeng Xiaoniu, and Daizhi Liu

Subjects
Tikhonov regularization, Continuation, Geophysics, Operator (computer programming), Noise (signal processing), Mathematical analysis, Spectrum (functional analysis), Spectral density, Cutoff, Wavenumber, Mathematics
Abstract

Downward continuation of potential field data plays an important role in interpretation of gravity and magnetic data. For its inherent instability, many methods have been presented to downward continue stably and precisely. In this manuscript, we propose an improved regularization operator for downward continuation of potential field data. First, we simply define a special wavenumber named the cutoff wavenumber to divide the potential field spectrum into the signal part and the noise part based on the radially averaged power spectrum of potential field data. Next, we use the conventional downward continuation operator to downward continue the signal and the Tikhonov regularization operator to suppress the noise. Moreover, the parameters of the improved operator are defined by the cutoff wavenumber which has an obvious physical significance. The improved operator can not only eliminate the influence of the high-wavenumber noise but also avoid the attenuation of the signal. Experiments through synthetic gravity and real aeromagnetic data show that the downward continuation precision of the proposed operator is higher than the Tikhonov regularization operator.

Published
2014

21. Evaluation of metabolites extraction strategies for identifying different brain regions and their relationship with alcohol preference and gender difference using NMR metabolomics

Author

Wang, Jie, primary, Zeng, Hao-Long, additional, Du, Hongying, additional, Liu, Zeyuan, additional, Cheng, Ji, additional, Liu, Taotao, additional, Hu, Ting, additional, Kamal, Ghulam Mustafa, additional, Li, Xihai, additional, Liu, Huili, additional, and Xu, Fuqiang, additional

Published
2018
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23. The Short Stature Homeobox 2 (Shox2)-bone Morphogenetic Protein (BMP) Pathway Regulates Dorsal Mesenchymal Protrusion Development and Its Temporary Function as a Pacemaker during Cardiogenesis

Author

Sun, Cheng, primary, Yu, Diankun, additional, Ye, Wenduo, additional, Liu, Chao, additional, Gu, Shuping, additional, Sinsheimer, Nathan R., additional, Song, Zhongchen, additional, Li, Xihai, additional, Chen, Chun, additional, Song, Yingnan, additional, Wang, Shusheng, additional, Schrader, Laura, additional, and Chen, YiPing, additional

Published
2015
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