An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization
arXiv:1203.3623 · doi:10.1587/transinf.E96.D.731
Abstract
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.
Accepted to IEICE Transactions on Information and Systems