A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods
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DOI: 10.1109/tsp.2023.3282062
Abstract: We present a statistical framework to benchmark the performance of reconstruction algorithms for linear inverse problems, in particular, neural-network-based methods that require large quantities of training data. We generate synthetic signals as realizations of sparse… read more here.
Keywords: investigate optimality; framework; statistical framework; framework investigate ... See more keywords