Original paper

DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks

Published: Oct 1, 2017
Abstract
We develop a novel computational sensing framework for sensing and recovering structured signals. When trained on a set of representative signals, our framework learns to take undersampled measurements and recover signals from these measurements using a deep convolutional neural network. In other words, it learns a transformation from the original signals to a near-optimal number of undersampled measurements and the inverse transformation from...
Paper Details
Title
DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks
Published Date
Oct 1, 2017
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