PAQ dual-space projections reshape the sensing dictionary to bound mutual coherence with an exponentially decaying tail, yielding PSNR gains when plugged into ISTA for 20% Cartesian MRI sampling.
Dimas et al., ``Advances in electrical impedance tomography inverse problem solution methods: From traditional regularization to deep learning,'' IEEE Access , vol
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Coherence-Minimized Sensing Matrix Design for MRI Reconstruction via Dual-Space Projection Optimization
PAQ dual-space projections reshape the sensing dictionary to bound mutual coherence with an exponentially decaying tail, yielding PSNR gains when plugged into ISTA for 20% Cartesian MRI sampling.