DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks

  title={DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks},
  author={Ali Mousavi and Gautam Dasarathy and Richard G. Baraniuk},
  journal={2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)},
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 measurements to signals. This is in contrast to… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 24 times over the past 90 days. VIEW TWEETS
8 Citations
27 References
Similar Papers


Publications referenced by this paper.
Showing 1-10 of 27 references

Similar Papers

Loading similar papers…