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A linear blind source separation algorithm based on generalized eigen-equation resolving is presented. Then a nonlinear blind source separation algorithm is proposed by extending the linear source separation algorithm to the nonlinear domain. The received mixing signals are first mapped to high-dimensional kernel feature space, and a feature vector basis(More)
  • Wenxi Zhang
  • 2016
In this paper, a new method with impulse spectrum is presented as a more general way for vibration control of the robotic arm of flexible multiple links. An impulse spectrum is directly responsible for basic processions. The multiple ODE of the arm is analyzed as an LTI system fit for superposition due to its dynamically relative constant. The study shows(More)
The target detection algorithm based on Independent Component Analysis (ICA) was proposed. The orthogonal subspace projection operator was used to extract the target endmembers and the initialization mixing matrix of the FastõICA was made up of such endmember vectors. This method could solve the ordering randomicity of independent vectors. In this(More)
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