# code

This software package contains code that can be used to select an optimal set of measurements for sensing a sparse vector in the constrained setting. For further details, see the paper “Constrained adaptive sensing,” by M. A. Davenport, A. K. Massimino, D. Needell, and T. Woolf.

@article{dmnw-tsp-2016,
author   = {M. A. Davenport and A. K. Massimino and D. Needell and T. Woolf},
journal  = {IEEE Trans. Signal Processing},
year     = {2016},
volume   = {64},
number   = {20},
pages    = {5437-5449},
doi      = {10.1109/TSP.2016.2597130},
ISSN     = {1053-587X},
month    = oct,
note     = {arXiv:1506.05889}
}


The code can be downloaded here; see the included readme file for a detailed description of the contents and for usage instructions.

## More…

See my repositories at @andymass on github.