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An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization
Zhe WANG Kai HU Baolin YIN
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/03/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Information Network
traffic matrix, stable principal component pursuit, frequency-domain regularization, iterative algorithm,
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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.