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.
Sui et al., ``Non-convex optimization for inverse problem solving in computer-generated holography,'' Light: Science & Applications, 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.