code

Constrained adaptive sensing

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}, 
    title    = {Constrained Adaptive Sensing}, 
    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.

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See my repositories at @andymass on github.