杨阳
个人信息Personal Information
副教授 博士生导师 硕士生导师
性别:男
出生日期:1982-02-08
毕业院校:山东大学
学历:研究生(博士后)
学位:工学博士学位
在职信息:在职
所在单位:信息科学与工程学院
入职时间:2009-07-16
学科:信息与通信工程
信号与信息处理
通信与信息系统
集成电路设计
办公地点:山东大学青岛校区N5楼243房间
联系方式:15165090447
扫描关注
- [21] 王洪君 , 杨阳 and 马良. WallSense: Device-Free Indoor Localization Using Wall-Mounted UHF RFID Tags. Sensors, 19, 2019.
- [22] 王洪君 and 杨阳. RFID 3-D Indoor Localization for Tag and Tag-Free Target Based on Interference. 《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》, 2018.
- [23] 杨阳 , 杜正锋 , 许宏吉 and 熊海良. Efficient Bias Reduction Approach of Time-of-Flight-Based Wireless Localization Networks in NLOS States. IET RADAR SONAR AND NAVIGATION, 12, 1353, 2018.
- [24] 熊海良 , 杨阳 , 杜正锋 and 许宏吉. Efficient Bias Reduction Approach of Time-of-Flight-Based Wireless Localization Networks in NLOS States. IET RADAR SONAR AND NAVIGATION, 12, 1353, 2018.
- [25] 杨阳 , 熊海良 and 李夏. The Depth Estimation of 3D Face from Single 2D Picture Based on Manifold Learning Constraints. 2017.
- [26] 杨阳. Sliced integral histogram: an efficient histogram computing algorithm and its FPGA implementation. MULTIMEDIA TOOLS AND APPLICATIONS, 76, 14327, 2017.
- [27] 马丕明 , 熊海良 and 杨阳. 基于QoS要求的全双工中继多载波安全系统的功率分配研究. 《电子与信息学报》, 39, 860, 2017.
- [28] Recurrently Decomposable 2-D Convolvers for FPGA. IEEE Transactions on Circuits & Systems II Express Briefs, 2016.
- [29] 周风余 and 杨阳. 基于时序深度置信网络的在线人体动作识别. 《自动化学报》, 42, 1030, 2016.
- [30] 杨阳. Recurrently Decomposable 2-D Convolvers for FPGA-Based Digital Image Processing. IEEE Transactions on Circuits and Systems II: Express Briefs, 63, 979, 2016.
- [31] 周风余 and 杨阳. 基于多硬件编码器协同的高效红外视频编码. 山东大学学报(工学版), 2015.
- [32] 杨阳 and 刘云霞. Recurrently decomposable 2-D filters. 《Journal of Computational Information Systems》, 11, 1773, 2015.
- [33] 杨阳 and 田国会. Overlapped distribution based efficient particle filter calculation. 2011 International Conference on Image and Vision Computing on conjunction with ICMMT 2011, 0, 2011.
- [34] 周风余 , 田国会 and 杨阳. Design and Implementation of Low-cost Service Robot Mobile Platform for Intelligent Space. IEEE International Confere on Automation and Logistics, 0, 49, 2010.
- [35] 田国会 and 杨阳. A Fast Background Estimation Method for Vehicle Surveillance. 2010 International Conference on Mechanic Automation and Control Engineering, 0, 1647, 2010.