Compressive Sensing Based Design of Sparse Tripole Arrays [Matlab code]

https://doi.org/10.15131/shef.data.3693951

software

posted on 2021-04-27, 17:50 authored by Matthew HawesMatthew Hawes

This Matlab code generates the results shown in the paper:<div>Hawes, M.; Liu, W.; Mihaylova, L. Compressive Sensing Based Design of Sparse Tripole Arrays. <em>Sensors</em> <b>2015</b>, <em>15</em>, 31056-31068.</div><div>For the code to run you will need to install the freely available package cvx for use with matlab. This is available from:</div><div>http://cvxr.com/cvx/download/ </div>

Funding

EPSRC project Bayesian Tracking and Reasoning over Time (BTaRoT) grant EP/K021516/1 (Internal code: R/138616-11-1)

History

Related Materials

1.
URL - References http://www.mdpi.com/1424-8220/15/12/29849
2.
URL - References http://eprints.whiterose.ac.uk/92598/
3.
DOI - Is supplement to Compressive Sensing Based Design of Sparse Tripole Arrays

Ethics

There is no personal data or any that requires ethical approval

Policy

The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

The data can be shared openly

Data description

The file formats are open or commonly used

Methodology, headings and units

There is a readme.txt file describing the methodology, headings and units

Usage metrics

Keywords

Sparse arrays vector sensors tripoles compressive sensing reweighted minimisation Signal Processing

Licence

GPL 3.0+