An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization

نویسندگان

  • Zhe Wang
  • Kai Hu
  • Baolin Yin
چکیده

We propose a novel network traffic matrix decomposition method named Stable Principal Component Pursuit with FrequencyDomain 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. key words: Traffic Matrix, Stable Principal Component Pursuit, Frequency-Domain Regularization, Iterative Algorithm.

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عنوان ژورنال:
  • IEICE Transactions

دوره 96-D  شماره 

صفحات  -

تاریخ انتشار 2013