Abstract: Inverse synthetic aperture radar sparse imaging based on compressive sensing has been widely researched. The measurement matrix significantly affects the performance of target imaging. In ...
Abstract: Recent developments in deep neural network (DNN) pruning introduces data sparsity to enable deep learning applications to run more efficiently on resourceand energy-constrained hardware ...
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