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个人简介

教育背景 2010/09-2013/06, 博士, 中山大学, 信息计算科学专业 2002/09-2005/06, 硕士, 河南大学, 应用数学专业 1998/09-2002/06, 学士, 河南大学, 数学教育专业 工作经历 2016/10-至今, 河南大学,副教授 2018/07-2019/07, Georgia Institute of Technology,访问学者 2008/09-2016/06, 河南大学, 讲师 2005/09-2008/06, 河南大学, 助教

研究领域

非平稳信号处理与模式识别

智能信息处理

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[1] Lijun Yang, Sijia Ding, Haomin Zhou and Xiaohui Yang, A strategy combining intrinsic time-scale decomposition and feedforward neural network for automatic seizure detection, Physiological Measurement, 2019, https://doi.org/10.1088/1361-6579/ab3e2e. [2] Lijun Yang, Shuang Li, Zhi Zhang, Xiaohui Yang, Classification of Phonocardiogram signals based on envelope optimization model and support vector machine, Journal of Mechanics in Medicine and Biology, 19(5)(2019)1950062(17 pages). DOI: 10.1142/S0219519419500623. [3] Feng Zhou, Lijun Yang, Haomin Zhou and Lihua Yang. Optimal Averages for Nonlinear Signal Decompositions—Another Alternative for Empirical Mode Decomposition. Signal Processing, 2016, 121:17-29. ISSN: 0165-1684 [4] Lijun Yang, Chao Huang and Zhihua Yang. The Model and Construction of Weak-IMFs. Computational & Applied Mathematics, 2015, 34(2):661-670. [5] Lijun Yang, Zhihua Yang and Lihua Yang. The theoretical analysis for an iterative envelope algorithm. Digital Signal Processing, 2015, 38:32-42. [6] Chao Huang, Lijun Yang and Lihua Yang. ϵ-Mono-component: its Characterization and Construction, IEEE Transactions on Signal Processing, 2015, 63(1):234-243. [7] Xiaohui Yang, Jingjing Liu and Lijun Yang. Product Image Classification Based on Fusion Feature. Chinese Quarterly Journal of Mathematics, 2015, 30(3):429-441. [7] Lijun Yang, Zhihua Yang, Feng Zhou and Lihua Yang. A Novel Envelope Model Based On Convex Constrained Optimization. Digital Signal Processing, 2014, 29:138-146. [8] Lijun Yang, Zhihua Yang, Lihua Yang and Ping Zhang. An improved envelope algorithm for eliminating undershoot.Digital Signal Processing, 2013, 23:401-411.

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