Grading learning for blind source separation

  title={Grading learning for blind source separation},
  author={Xianda Zhang and Xiao-Long Zhu and Zheng Bao},
  journal={Science in China Series F},
By generalizing the learning rate parameter to a learning rate matrix, this paper proposes a grading learning algorithm for blind source separation. The whole learning process is divided into three stages: initial stage, capturing stage and tracking stage. In different stages, different learning rates are used for each output component, which is determined by its dependency on other output components. It is shown that the grading learning algorithm is equivariant and can keep the separating… CONTINUE READING