We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
We demonstrate, through numerical simulations with real data,
the feasibility of using compressive sensing techniques for the acquisition of spectro-polarimetric data. This allows us to combine the measurement and the compression process into one consistent framework. Signals are recovered using a sparse reconstruction scheme from projections of the signal of interest onto appropriately chosen vectors, typically noise-like
vectors. The compressibility properties of spectral lines are analyzed in detail. The results shown in this paper demonstrate that, thanks to the compressibility properties of spectral lines, it is
feasible to reconstruct the signals using only a small fraction of the information that is measured
nowadays. We investigate in depth the quality of the reconstruction as a function of the amount of
data measured and the influence of noise. This change of paradigm also allows us to define new instrumental
strategies and to propose modifications to existing instruments in order to take advantage of compressive sensing techniques
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.