Nonlinear Signal Sources Estimation Based on Nonlinear Dimension Reduction
The estimation on signal source number is an important research issue in the field of signal analysis,especially in electromagnetic compatibility(EMC)under complex environments.Due to the nonlinear nature of electromagnetic interference(EMI),traditional linear methods usually take a bad performance.In this paper,we propose an estimation method by combining the ICA and nonlinear dimension reduction.Our experimental results show that the proposed algorithm outperforms methods for comparison under nonlinear condition.
Hong-yi LI Zhi-xuan MA Di ZHAO
LMIB,School of Mathematics and System Science,Beihang University,Beijing 100191,China School of Computer Science and Engineering,Beihang University,Beijing 100191,China
国际会议
上海
英文
208-213
2017-12-30(万方平台首次上网日期,不代表论文的发表时间)