学术论文: |
代表性论文 [1] tingting lin, meng wei, yang zhang*, deep learning for denoising: an attempt to recover the effective magnetic resonance sounding signal in the presence of high level noise[j], ieee transactions on geoscience and remote sensing, 2022, 60:1-13.(sci检索) [2] lin tingting, yu sijia, wang pengfei, fan tiehu, zhang yang*, removal of a series of spikes from magnetic resonance sounding signal by combining empirical mode decomposition and wavelet thresholding[j], review of scientific instruments, 2022, 93(2): 024502.(sci检索) [3] 林婷婷,于思佳,么晓康,韦萌,张扬*,基于双通道参考技术的磁共振地下水探测电磁噪声分布规律研究[j],地球物理学报,2021,64(1):355-362.(sci检索) [4] yang zhang, sijia yu, ling wan, tingting lin, processing of underground-nuclear magnetic resonance data for underground river detection: a case study in doumo tunnel, guizhou, china[j], journal of environmental and engineering geophysics, 2020, 25(3):315-323.(sci检索) [5] jun lin, jinbao zhu, hualiang wang, fei teng, yang zhang*, a review on the progress of the underground nuclear magnetic resonance method for groundwater disaster forecasting detection of tunnels and mines[j], journal of applied geophysics, 2020, 177, 104041.(sci检索) [6] tingting lin, yang zhang*, mike müller-petke, random noise suppression of magnetic resonance sounding oscillating signal by combining empirical mode decomposition and time-frequency peak filtering[j], ieee access, 2019, 7:79917-79926.(sci检索,与德国莱布尼兹应用地球物理研究所合作论文) [7] tingting lin, yang zhang,xiaofeng yi,tiehu fan,ling wan,time–frequency peak filtering for random noise attenuation of magnetic resonance sounding signal[j],geophysical journal international,2018, 213(2):727-738. (sci检索) [8] 林婷婷,张扬,杨莹等,利用分段时频峰值滤波法抑制磁共振全波信号随机噪声[j],地球物理学报,2018,61(9):3812-3824.(sci检索) [9] tingting lin, siyuan zhang, yang zhang* et al., removal of correlated noised online for in situ measurements by using magnetic resonance sounding system, 7th international conference on electronics and information engineering, 2017, v10322.(ei检索) [10] a para-whole space model for underground magnetic resonance sounding studied, ieee journal of selected topics in applied earth observations and remote sensing[j], 2015, 9(1): 264-271.(sci检索) 教改论文 [1] 林婷婷,于思佳,张扬,赵静,地学专业教学改革与实践,科教论坛,2020. |
专利情况: |
[1] 张扬,于思佳,韦萌,万玲,林婷婷,联合emd与wt算法的地面磁共振信号尖峰噪声剔除方法,中国,zl202010401183.3 [2] 林婷婷,韦萌,张扬,基于卷积神经网络的磁共振地下水探测噪声抑制方法,中国,zl202010672868.1 [3] 林婷婷,于思佳,张扬,李玥,万玲,基于小波变换模极大值法的磁共振信号工频噪声消减方法,中国,zl201811523616.1 [4] 林婷婷,李玥,张扬,于思佳,万玲,基于离散余弦变换的深度神经网络磁共振信号消噪方法,中国,zl201910098593.2 [5] 林婷婷,张扬,李玥,万玲,林君,一种联合emd与tfpf算法的全波磁共振信号随机噪声消减方法,中国,zl201710981777.4 [6] tingting lin, yang zhang, yue li, ling wan, jun lin, method for random noise reduction from mrs oscillating signal using joint algorithms of emd and tfpf, 美国,us 10,677,957 b2 |