supported by the National Natural Science Foundation of China(Grant No.60872123);the Joint Fund of the National Natural Science Foundation andthe Guangdong Provincial Natural Science Foundation,China(Grant No.U0835001);the Fundamental Research Funds for the Central Universities of Ministryof Education of China(Grant No.2012ZM0025);the South China University of Technology,China;the Fund for Higher-level Talent in GuangdongProvince,China(Grant No.N9101070)
For solving the issues of the signal reconstruction of nonlinear non-Gaussian signals in wireless sensor networks (WSNs), a new signal reconstruction algorithm based on a cubature Kalman particle filter (CKPF) is ...
Project supported by the National Natural Science Foundation of China(Grant No.60872123);the Joint Fund of the National Natural Science Foundation and the Natural Science Foundation of Guangdong Province,China(Grant No.U0835001);the Fundamental Research Funds for the Central Universities of China(Grant No.2012ZM0025);the South China University of Technology,China,and the Fund for Higher-Level Talents in Guangdong Province,China(Grant No.N9101070)
A new method to perform blind separation of chaotic signals is articulated in this paper, which takes advantage of the underlying features in the phase space for identifying various chaotic sources. Without incorporat...