Network tomography: Identifiability and fourier domain estimation
The statistical problem for network tomography is to infer the distribution of X, with mutually
independent components, from a measurement model Y= AX, where A is a given binary …
independent components, from a measurement model Y= AX, where A is a given binary …
[PDF][PDF] Network tomography: Identifiability and Fourier Domain Estimation
A Chen, J Cao, T Bu - scholar.archive.org
Network tomography has been regarded as one of the most promising methodologies for
performance evaluation and diagnosis of the massive and decentralized Internet. It can be …
performance evaluation and diagnosis of the massive and decentralized Internet. It can be …
[引用][C] Network Tomography: Identifiability and Fourier Domain Estimation
A CHEN, JIN CAO, T BU - IEEE transactions on signal …, 2010 - pascal-francis.inist.fr
Network Tomography: Identifiability and Fourier Domain Estimation CNRS Inist Pascal-Francis
CNRS Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
CNRS Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
Network Tomography: Identifiability and Fourier Domain Estimation
A Chen, J Cao, T Bu - arXiv preprint arXiv:0712.3618, 2007 - arxiv.org
The statistical problem for network tomography is to infer the distribution of $\mathbf {X} $,
with mutually independent components, from a measurement model $\mathbf {Y}= A\mathbf …
with mutually independent components, from a measurement model $\mathbf {Y}= A\mathbf …
Network Tomography: Identifiability and Fourier Domain Estimation
A Chen, J Cao, T Bu - arXiv e-prints, 2007 - ui.adsabs.harvard.edu
The statistical problem for network tomography is to infer the distribution of $\mathbf {X} $,
with mutually independent components, from a measurement model $\mathbf {Y}= A\mathbf …
with mutually independent components, from a measurement model $\mathbf {Y}= A\mathbf …
Network tomography: identifiability and Fourier domain estimation
A Chen, J Cao, T Bu - IEEE Transactions on Signal Processing, 2010 - dl.acm.org
The statistical problem for network tomography is to infer the distribution of X, with mutually
independent components, from a measurement modelY= AX, where is a given binary matrix …
independent components, from a measurement modelY= AX, where is a given binary matrix …
Network Tomography: Identifiability and Fourier Domain Estimation
A Chen, J Cao, T Bu - arXiv, 2007 - dml.mathdoc.fr
The statistical problem for network tomography is to infer the distribution of $\mathbf {X} $,
with mutually independent components, from a measurement model $\mathbf {Y}= A\mathbf …
with mutually independent components, from a measurement model $\mathbf {Y}= A\mathbf …
Network Tomography: Identifiability and Fourier Domain Estimation
A Chen, J Cao, T Bu - IEEE INFOCOM 2007-26th IEEE …, 2007 - ieeexplore.ieee.org
Network tomography has been regarded as one of the most promising methodologies for
performance evaluation and diagnosis of the massive and decentralized Internet. It can be …
performance evaluation and diagnosis of the massive and decentralized Internet. It can be …
[引用][C] Network tomography: Identifiability and fourier domain estimation
Y CHEN - Proc. IEEE International Conference on Computer …, 2007 - cir.nii.ac.jp
Network tomography : Identifiability and fourier domain estimation | CiNii Research CiNii 国立
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …
Network Tomography: Identifiability and Fourier Domain Estimation
A Chen, J Cao, T Bu - IEEE Transactions on Signal Processing, 2010 - infona.pl
The statistical problem for network tomography is to infer the distribution of X, with mutually
independent components, from a measurement model Y= AX, where A is a given binary …
independent components, from a measurement model Y= AX, where A is a given binary …