compressive sensing
This dataset is used to compressive sensing scenes and assist users in training the optimal sparsity threshold. The input features are image compression ratio, image size, and sparsity, while the label field is the optimal sparsity threshold. The test images are from the USC-SIPI dataset.
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The present contribution consists of two files. The first one (measurements_25GHz_11planes.mat) contains a series of measurements of the scattered electric field using two two-dimensional objects made of aluminum foil as targets. The dataset consists of S21 paramenter measurements, captured with a VNA at a frequency of 25 GHz. The field was sampled in 11 planes located at different distances from the plane containing the objects under test.
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