|
|
Transcranial Magnetic Stimulation Signal Denoising Based on Spectrum Domain Constraints Subspace Method |
Xiong Hui*, Qi Hailong, Liu Jinzhen |
(Key Laboratory of Advanced Electrical Engineering and Energy Technology, School of Electrical Engineering and Automation,Tiangong University, Tianjin 300387, China) |
|
|
|
Received: 25 March 2019
|
|
Corresponding Authors:
E-mail: fine_xh@163.com
|
|
|
|
[1] 李江涛,郑敏军,曹辉. 经颅磁刺激技术的研究进展 [J]. 高电压技术, 2016, 42(4): 1168-1178. [2] 叶琳琳,杨丹,王旭. 基于集合经验分解与改进阈值函数的小波变换心电信号去噪方法研究 [J]. 生物医学工程学杂志, 2014, 31(3): 567-571. [3] 朱俊江,张远辉. 面向心电信号去噪的正交小波构造方法 [J]. 中国生物医学工程学报, 2017, 36(1): 110-113. [4] 叶华,谭冠政,李广,等. 基于稀疏表示与粒子群优化算法的非平稳信号去噪研究 [J]. 红外与激光工程, 2018, 47(7): 328-335. [5] Huang Weilin, Wang Runqiu, Zu Shaohuan, et al. Low-frequency noise attenuation in seismic and microseismic data using mathematical morphological filtering [J]. Geophysical Journal International, 2017, 211(3): 1296-1318. [6] Hu Yi, Loizou PC. A generalized subspace approach for enhancing speech corrupted by colored noise [J]. IEEE Transactions on Speech and Audio Processing, 2003, 11(4): 334-341. [7] 刘康. 基于信号子空间的语音增强算法研究与实现 [D]. 上海: 上海交通大学,2014. [8] 李大中,赵杰,刘建屏,等. ITD改进信号子空间超声检测信号去噪 [J]. 中国测试, 2016, 42(4): 102-106. [9] 王红,王爱平,邹海. 低信噪比下基于信号子空间的语音增强算法研究 [J]. 微电子学与计算机, 2017, 34(2): 43-47. [10] 王灿进,孙涛,王锐,等. 基于信号子空间谱域约束的激光主动成像散斑噪声去除 [J]. 中国激光, 2013, 40(11): 1109001. [11] 刘凯,方小俊,张斌. 基于混合子空间去噪的免携带设备目标定位 [J]. 数据采集与处理, 2015, 30(6): 1296-1301. [12] Wang Rongkun, Sun Sigun, Guo Xinhua, et al. EMD threshold denoising algorithm based on variance estimation [J]. Circuits, Systems, and Signal Processing, 2018, 37(12): 5369-5388. [13] Xiong Hui, Zheng Chunhou, Liu Jinzhen. A multi-channel high-speed magnetic field detection system based on FPGA for transcranial magnetic stimulation [J]. Review of Scientific Instruments. 2018, 89(6): 065108. |
[1] |
Li Baoming, Hu Jiarui, Xu Haijun, Wang Cong, Jiang Yanni, Zhang Zhihong, Xu Jun. Deep Cascaded Network for Automated Detection of Cancer MetastasisRegion from Whole Slide Image of Breast Lymph Node[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 257-264. |
[2] |
Xie Sudan, Fan Ming, Xu Maosheng, Wang Shiwei, Li Lihua. Prediction of Histological Grade in Invasive Breast Cancer Based on T2-Weighted MRI[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 280-287. |
|
|
|
|