Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements
Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements is a scholarly work, published in 2019 in ''IEEE Transactions on Information Theory''. The main subjects of the publication include image segmentation, matching, phase, Gaussian, Phase retrieval, block, SIGNAL, computer science, convergence, Simultaneous localization and mapping, magnitude, compressed sensing, radiography, mathematics, minification, algorithm, Sample complexity, and combinatorics. The authors develop a novel algorithm that authors call Compressive Phase Retrieval with Alternating Minimization, or CoPRAM.