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Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising
Approximate Message Passing Lasso Group Lasso, Joint Sparsity, James- Stein, Minimax Risk over Nearly-Black Objects Minimax Risk of Soft Thresholding Minimax Risk of Firm Thresholding Minimax Shrinkage Nonconvex penalization State Evolution Total Variation Minimization Monotone Regression.
2015/8/21
Compressed sensing posits that, within limits, one can undersample a sparse signal and yet reconstruct it accurately. Knowing the precise limits to such undersampling is important both for theory and ...
Thermal Performance Prediction of the TMT Telescope Structure
telescope structure thermal analysis temperature distributions thermo-elastic analysis
2015/5/12
Thermal analysis for the Thirty Meter Telescope (TMT) structure was performed using finite element analysis in
ANSYS and I-DEAS. In the thermal analysis, the telescope structural parts with simplifi...
Performance Prediction of the TMT Secondary Mirror Support System
Secondary mirror mirror performance mirror support optimization
2015/5/12
The optical systems of TMT have stringent requirements to achieve scientific goals. The M2M support system was
optimized to meet the requirements defined in “TMT Image Size and Wavefront Error Budge...
Thermal Performance Prediction of the TMT Optics
thermal models temperature distributions thermo-elastic analysis
2015/5/12
Thermal analysis for the Thirty Meter Telescope (TMT) optics (the primary mirror segment, the secondary mirror, and
the tertiary mirror) was performed using finite element analysis in ANSYS and I-DE...