Pages that link to "Item:Q2343256"
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The following pages link to Convergence analysis for iterative data-driven tight frame construction scheme (Q2343256):
Displaying 16 items.
- The proximal alternating iterative hard thresholding method for \(l_0\) minimization, with complexity \(\mathcal{O}(1/\sqrt{k})\) (Q730526) (← links)
- Geometric mode decomposition (Q1673853) (← links)
- Compactly supported tight and sibling frames based on generalized Bernstein polynomials (Q1792839) (← links)
- Inpainting via sparse recovery with directional constraints (Q2063335) (← links)
- A review on deep learning in medical image reconstruction (Q2218098) (← links)
- Convergence of a data-driven time-frequency analysis method (Q2252514) (← links)
- Wavelet tight frame and prior image-based image reconstruction from limited-angle projection data (Q2408413) (← links)
- Data-driven tight frame for multi-channel images and its application to joint color-depth image reconstruction (Q2516368) (← links)
- A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation (Q3188195) (← links)
- CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization (Q3188219) (← links)
- 5D respiratory motion model based image reconstruction algorithm for 4D cone-beam computed tomography (Q3458217) (← links)
- PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization (Q4689757) (← links)
- On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm (Q4689776) (← links)
- Data-Driven Tight Frame Construction for Impulsive Noise Removal (Q5079544) (← links)
- Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization (Q5143293) (← links)
- Duality for frames (Q5964232) (← links)
