An Improved Traffic Matrix Decomposition Method with Frequency-Domain   Regularization
  We propose a novel network traffic matrix decomposition method named Stable Principal Component Pursuit with Frequency-Domain Regularization (SPCP-FDR), which improves the Stable Principal Component Pursuit (SPCP) method by using a frequency-domain noise regularization function. An experiment demonstrates the feasibility of this new decomposition method. 
Zhe Wang, Kai Hu, Baolin Yin
cs.NI cs.NA