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蒋英春 正高级 (guilinjiang@126.com)    

沙巴足球(中国)股份有限公司官网    

小波分析及其应用;采样理论;;

个人简介

女,1980年,山西朔州人。博士,教授,博士生导师。2007年毕业于北京工业大学,获理学博士学位。广西杰青,广西高校千名中青年骨干教师培育对象。主要研究方向:小波分析及其应用、采样理论。2014.2-2015.2,访问美国中佛罗里达大学数学系,2018.9-2019.7,访问南开大学数学科学学院。近年主持完成2项国家自然科学基金和2项广西自然科学基金,主持在研1项国家自然科学基金,主持在研2项广西自然科学基金。出版学术著作一部,在《Applied and Computational Harmonic Analysis》、《Journal of Mathematical Analysis and Applications》、《Journal of Computational and Applied Mathematics》、《Mathematical Methods in the Applied Science》、《Acta Mathematica Sinica, English Series》、《数学学报》、《Numerical Functional Analysis and Optimization》等杂志发表学术论文多篇。开设本科生/研究生课程5门,指导硕士研究生16人,主持3项广西高等教育教改工程项目,主编教材一部,区级一流课程《高等数学A》课程负责人。

教育背景

1997.9-2001.7,雁北师范学院(大同大学),数学系,本科;

2001.9-2007.6,北京工业大学,应用数理学院,硕士和博士.

工作经历


2007.07-至今,沙巴足球(中国)股份有限公司官网,数学与计算科学学院;

2018.09-2019.07,南开大学数学科学学院,访问学者;

2014.02-2015.02,美国中佛罗里达大学数学系,访问学者.


主要荣誉
广西杰青、广西高校千名中青年骨干教师培育对象.
学术活动
教学信息


主讲课程: 小波分析及其应用(研究生);

高等数学(本科生);

小波与傅里叶分析基础(外文教材,本科生).


主要论文

[1] Yingchun Jiang and Junjian Zhao. Random sampling and reconstruction of signals with finite rate of innovation. Bulletin of the Korean Mathematical Society, 2022, 59(2): 285-301. (SCI)

[2] Yingchun Jiang and Wan Li. Random sampling in multiply generated shift-invariant subspaces of mixed Lebesgue spaces, Journal of Computational and Applied Mathematics, 2021, 386: 113237. (SCI)

[3] Yingchun Jiang and Wan Li. Convolution random sampling in multiply generated shift-invariant spaces, Annals of Functional Analysis, 2021, 12:10. (SCI)

[4] Yingchun Jiang and Jiao Li. Frame-based average sampling in multiply generated shift-invariant subspaces of mixed Lebesgue spaces, Taiwanese Journal of Mathematics, 2021, 25(3): 535-552. (SCI)

[5] Yingchun Jiang and Wenchang Sun. Adaptive sampling of time-space signals in a reproducing kernel subspace of mixed Lebesgue space, Banach Journal of Mathematical Analysis, 2020, 14: 821-841. (SCI)

[6] Yingchun Jiang and Junke Kou. Semi-average sampling for shift-invariant signals in a mixed Lebesgue space, Numerical Functional Analysis and Optimization, 2020, 41(9): 1045-1064. (SCI)

[7] Cheng Cheng, Yingchun Jiang* and Qiyu Sun, Spatially distributed sampling and reconstruction, Applied and Computational Harmonic Analysis, 2019, 47(1): 109-148. (SCI)

[8] Yingchun Jiang. Average sampling and reconstruction of reproducing kernel signals in mixed Lebesgue spaces, Journal of Mathematical Analysis and Applications, 2019: 123370. (SCI)

[9] Cheng Cheng, Yingchun Jiang* and Qiyu Sun, Sampling and Galerkin reconstruction in reproducing kernel spaces, Applied and Computational Harmonic Analysis, 2016, 41: 838-659. (SCI)

[10] Yingchun Jiang, Time sampling and reconstruction in weighted reproducing kernel subspaces, Journal of Mathematical Aalysis and Applications, 2016, 444: 1380-1402. (SCI)

[11] Yingchun Jiang and Suping Wang, Sampling and quasi-optimal approximation for signals in a reproducing kernel space of homogeneous type, Journal of Computational and Applied Mathematics, 2017, 319: 296-307. (SCI)

[12] Yingchun Jiang, Suping Wang and Meixiang Yang, Average sampling and reconstruction for reproducing kernel stochastic signals, Mathematical Methods in the Applied Sciences, 2016, 39: 2930-2938. (SCI)

[13] Yingchun Jiang, Lusong Wei and Guangxi Chen, An adaptive sampling method for high-dimensional shift-invariant signals, Mathematical Methods in the Applied Sciences, 2017, 40: 4529-4537. (SCI)

[14] Yingchun Jiang and Ting Li, Local measurement and diffusion reconstruction for signals on a weighted graph, Mathematical Problems in Engineering, 2018: 3264294. (SCI)

[15] 范筱,蒋英春*,混合范数条件下平移不变信号的非均匀平均采样,数学学报,2018,61(2): 289-300.

[16] 蒋英春,王素萍,加权再生核空间中信号的平均采样与重构,数学学报,2016, 59(2): 233-246.

[17] Yingchun Jiang, Anisotropic curl-free wavelets on the unit cube, Acta Mathematica Sinica, English Series, 2013, 29(4): 801-814. (SCI)

[18] Yingchun Jiang, Improved error analysis for adaptive wavelet algorithms, Applied Mathematics and Computation, 2012, 219: 2134-2141. (SCI)

[19] Cheng Cheng, Yingchun Jiang and Qiyu Sun, Spatially distributed sampling and reconstruction of high-dimensional signals, 2015 International Conference on Sampling Theory and Applications, reported, 453-457, Washington DC, United States, 2015. (EI)

学术著作


[1] 蒋英春,无散度和无旋度小波及其应用,天津大学出版社,2013.

[2] 蒋英春,小波分析基本原理,天津大学出版社,2012.


科研项目

[1] "基于时间编码器的信号自适应采样与重构". 国家自然科学基金项目, 2023.01-2016.12. (主持)

[2] “区域上无散度和无旋度小波及其在流体计算中的应用”. 国家自然科学基金项目,2013.01-2015.12. (主持)

[3] “小波域上Helmholtz分解快速算法及其应用研究”. 广西自然科学基金项目,2014.06-2017.06. (主持)

[4] “无向加权图信号的采样与重构”. 国家自然科学基金项目, 2017.01-2020.12. (主持)

[5] “平稳随机图信号的采样与快速重构”. 广西自然科学基金项目, 2017.09-2020.09.(主持)

[6] “图上的小波分析与图信号处理”. 广西自然科学基金杰出青年基金项目,2020.01-2023.12. (主持)

[7] “基于混合范数的时变信号采样与重构”. 广西自然科学基金项目,2020.07-2023.7.(主持)


知识产权
联系信息

所在单位:沙巴足球(中国)股份有限公司官网,数学与计算科学学院 Email: guilinjiang@126.com

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