Underdetermined Blind Source Separation(BSS):A Time-Frequency Approach
Wenli Jiang · Dianzi xuebao · 2011
Underdetermined blind source separation(BSS) is discussed.Based on time-frequency analysis,an underdetermined BSS method is developed,in which sources are not necessarily sparse or independent mutually.First,we compute a sequence of matrices of time-frequency distributions(TFDs) and obtain the auto-source TF points,then we fold the TFD matrices into a third-order tensor and calculate the mixing matrix by tensor canonical decomposition,finally we obtain the sources by calculating the pseudo-inverse matrix and TF synthesis techniques.The simulations demonstrate that the proposed method outperforms the existing methods in performance significantly.