- No file added yet -
Compressive Sensing Based Design of Sparse Tripole Arrays [Matlab code]
Version 3 2021-04-27, 17:50
Version 2 2016-08-24, 10:04
Version 1 2016-08-23, 09:38
software
posted on 2021-04-27, 17:50 authored by Matthew HawesMatthew HawesThis Matlab code generates the results shown in the paper:
Hawes, M.; Liu, W.; Mihaylova, L. Compressive Sensing Based Design of Sparse Tripole Arrays. Sensors 2015, 15, 31056-31068.
For the code to run you will need to install the freely available package cvx for use with matlab. This is available from:
http://cvxr.com/cvx/download/
Funding
EPSRC project Bayesian Tracking and Reasoning over Time (BTaRoT) grant EP/K021516/1 (Internal code: R/138616-11-1)
History
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
