The Rapid Prototyping Environment for Compressed Sensing allows to lowers the burden of implementing and testing new algorithms from the mathematical field of Compressed Sensing/Compressive Sampling by heavily reliying on object oriented programming. The primary target is taking off the many nuisances of CS algorithm testing, such as data initialization, storage routines/formats, numerical study frameworks. It makes testing of
new algorithmic ideas possible with having solely to implement the algorithm. For easy comparison of numerical results among various algorithms multiple metrics are supported and a unified storage format of the results is provided.
phaseFig.m requires a corrected and slightly modified laprint.m originating from the laprint Matlab package. The modified version is included.
RPECS is being published under BSD license.
Tobias Birnbaum (2019). Rapid Prototyping Environment for Compressed Sensing (REPCS) (https://www.mathworks.com/matlabcentral/fileexchange/58750-rapid-prototyping-environment-for-compressed-sensing-repcs), MATLAB Central File Exchange. Retrieved .