PCA-Based Parametric Fault Analysis for Analog Integrated Circuits
The wavelet filtering technology and principal components analysis (PCA) is used to extract the signatures of circuits in this paper. Firstly, the output signal of the analog circuits is filtered by Harr wavelet packet. Then, the energetic values in eight subbands are extracted as the principal components. By comparison with the eigenvalues of the energetic relative matrices, different states of the circuits are identified. The idea is discussed and the result is given in the paper.
Yong Deng Yibing Shi Longfu Zhou
School of Automation Engineering, University of Electronic Science and Technology, Chengdu 610054, China
国际会议
2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)
成都
英文
554-557
2009-07-23（万方平台首次上网日期，不代表论文的发表时间）