IEICE TRANSACTIONS on Information
An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E96-D No.3 pp.731-734
- Publication Date
- 2013/03/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E96.D.731
- Type of Manuscript
- LETTER
- Category
- Information Network
Authors
Keyword
Latest Issue
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Zhe WANG, Kai HU, Baolin YIN, "An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization" in IEICE TRANSACTIONS on Information,
vol. E96-D, no. 3, pp. 731-734, March 2013, 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E96.D.731/_p
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@ARTICLE{e96-d_3_731,
author={Zhe WANG, Kai HU, Baolin YIN, },
journal={IEICE TRANSACTIONS on Information},
title={An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization},
year={2013},
volume={E96-D},
number={3},
pages={731-734},
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.},
keywords={},
doi={10.1587/transinf.E96.D.731},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization
T2 - IEICE TRANSACTIONS on Information
SP - 731
EP - 734
AU - Zhe WANG
AU - Kai HU
AU - Baolin YIN
PY - 2013
DO - 10.1587/transinf.E96.D.731
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2013
AB - 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.
ER -
English
