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计算机vs论文的命题 科学网—2篇论文评为IEEE TBME期刊和最高引用论文(

时间:2019-12-11 23:34:49

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计算机vs论文的命题 科学网—2篇论文评为IEEE TBME期刊和最高引用论文(

最近刚知道自己的2篇论文被评为至发表在IEEE Trans. Biomedical Engineering上的最高引用论文,并且分别排名第一和第二 (/research-highlights/most-cited-articles/)



这2篇论文分别是:

Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning

Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao

IEEE Trans. on Biomedical Engineering, vol. 60, no. 2, pp. 300-309,

[附注 : This paper used BSBL to reconstruct raw fetal ECG. It showed that BSBL can directly recover non-sparse correlated signals without using any dictionary matrix. It may be the first solid evidence showing that exploiting correlation is an effective way to reconstruct non-sparse signals in any domains.]

Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware

Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao

IEEE Trans. on Biomedical Engineering, vol. 60, no. 1, pp. 221-224,

[附注This paper applied BSBL to wireless telemonitoring of EEG, showing DCT coefficients can be recovered using block-structure model. Some explanations on why DCT dictionary matrix is a good dictionary for BSBL are further given in my ST-SBL paper.]



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计算机vs论文的命题 科学网—2篇论文评为IEEE TBME期刊和最高引用论文(排名第1 第2) - 张智林的博文...

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