Non linear sparse recovery algorithm

@article{Das2014NonLS,
  title={Non linear sparse recovery algorithm},
  author={Pallavi Das and Mansi Jain and Angshul Majumdar},
  journal={2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)},
  year={2014},
  pages={000327-000332}
}
Compressed sensing addresses the problem of recovering a sparse solution to a system of linear under-determined equations. In this work we are interested in deriving algorithms when the system is non-linear. Our algorithm is based on gradient descent approach followed by subsequent soft thresholding. We have tested our algorithm for both l2-norm and l1-norm… CONTINUE READING