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Liang Dai 0002

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affiliation: University of Uppsala, Department of Information Technology, Sweden

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2010 – 2019

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2016
[b1]
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Liang Dai:
Identification using Convexification and Recursion. Uppsala University, Sweden, 2016
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Liang Dai, Thomas B. Schön:
Using Convolution to Estimate the Score Function for Intractable State-Transition Models. IEEE Signal Process. Lett. 23(4): 498-501 (2016)
2015
[j6]
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Liang Dai, Kristiaan Pelckmans, Er-Wei Bai:
Identifiability and convergence analysis of the MINLIP estimator. Autom. 51: 104-110 (2015)
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Liang Dai, Kristiaan Pelckmans:
On the nuclear norm heuristic for a Hankel matrix completion problem. Autom. 51: 268-272 (2015)
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Liang Dai, Thomas B. Schön:
On the Exponential Convergence of the Kaczmarz Algorithm. IEEE Signal Process. Lett. 22(10): 1571-1574 (2015)
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Liang Dai, Thomas B. Schön:
A New Structure Exploiting Derivation of Recursive Direct Weight Optimization. IEEE Trans. Autom. Control. 60(6): 1683-1685 (2015)
2014
[j2]
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Liang Dai, Kristiaan Pelckmans:
Sparse estimation from noisy observations of an overdetermined linear system. Autom. 50(11): 2845-2851 (2014)
[j1]
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Liang Dai, Mojtaba Soltanalian, Kristiaan Pelckmans:
On the Randomized Kaczmarz Algorithm. IEEE Signal Process. Lett. 21(3): 330-333 (2014)
[i5]
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Liang Dai, Mojtaba Soltanalian, Kristiaan Pelckmans:
On the Randomized Kaczmarz Algorithm. CoRR abs/1402.2863 (2014)
[i4]
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Liang Dai, Kristiaan Pelckmans:
Sparse Estimation From Noisy Observations of an Overdetermined Linear System. CoRR abs/1402.2864 (2014)
[i3]
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Liang Dai, Thomas B. Schön:
On the exponential convergence of the Kaczmarz algorithm. CoRR abs/1411.4017 (2014)
[i2]
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Liang Dai, Thomas B. Schön:
A new structure exploiting derivation of recursive direct weight optimization. CoRR abs/1411.4018 (2014)
2012
[c2]
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Liang Dai, Kristiaan Pelckmans:
An ellipsoid based, two-stage screening test for BPDN. EUSIPCO 2012: 654-658
[i1]
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  - journals/corr/abs-1207-4420
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Liang Dai, Kristiaan Pelckmans:
On the Nuclear Norm heuristic for a Hankel matrix Recovery Problem. CoRR abs/1207.4420 (2012)
2011
[c1]
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Kristiaan Pelckmans, Liang Dai:
A simple recursive algorithm for learning a Monotone Wiener system. CDC/ECC 2011: 3622-3627

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