Thomas Strohmer

Affiliations: 
Applied Mathematics University of California, Davis, Davis, CA 
Area:
Applied Mathematics, Electronics and Electrical Engineering, Computer Science
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"Thomas Strohmer"

Children

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Denis Grishin grad student 2004 UC Davis
Jiadong Xu grad student 2006 UC Davis
Brendan Farrell grad student 2008 UC Davis
Matthew A. Herman grad student 2009 UC Davis
Deanna Needell grad student 2009 UC Davis
Blake Hunter grad student 2011 UC Davis
Jovana Ilic grad student 2011 UC Davis
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Publications

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Li X, Ling S, Strohmer T, et al. (2019) Rapid, robust, and reliable blind deconvolution via nonconvex optimization Applied and Computational Harmonic Analysis. 47: 893-934
Ling S, Strohmer T. (2018) Self-Calibration and Bilinear Inverse Problems via Linear Least Squares Siam Journal On Imaging Sciences. 11: 252-292
Ling S, Strohmer T. (2018) Regularized gradient descent: a non-convex recipe for fast joint blind deconvolution and demixing Information and Inference: a Journal of the Ima. 8: 1-49
Li X, Li Y, Ling S, et al. (2018) When do birds of a feather flock together? k-Means, proximity, and conic programming Mathematical Programming. 179: 295-341
Ling S, Strohmer T. (2017) Blind Deconvolution Meets Blind Demixing: Algorithms and Performance Bounds Ieee Transactions On Information Theory. 63: 4497-4520
Strohmer T, Wei K. (2017) Painless Breakups—Efficient Demixing of Low Rank Matrices Journal of Fourier Analysis and Applications. 25: 1-31
Rauth M, Strohmer T. (2016) Smooth approximation of potential fields from noisy scattered data Geophysics. 63: 85-94
Ling S, Strohmer T. (2015) Self-calibration and biconvex compressive sensing Inverse Problems. 31
Wunder G, Boche H, Strohmer T, et al. (2014) Sparse signal processing concepts for efficient 5G system design Ieee Access. 3
Strohmer T, Friedlander B. (2014) Analysis of sparse MIMO radar Applied and Computational Harmonic Analysis. 37: 361-388
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