文件列表:

RssMP (0, 2012-07-18)
RssMP\MP.m (1939, 2011-06-21)
RssMP\OMP.m (2923, 2011-06-21)
RssMP\RSSMP.m (2576, 2011-06-21)
RssMP\RSSOMP.m (2806, 2011-06-21)
RssMP\license.txt (1338, 2012-07-18)
RssMP\test_RSSMP.m (3453, 2012-07-18)
license.txt (1338, 2012-07-17)

% This scripts are provided in support of the paper: % "Matching Pursuits with Random Sequential Subdictionaries" by Manuel % Moussallam, Laurent Daudet and Gael Richard. Published in Elsevier Signal % Processing, April 2012 % Any question or comment at manuel.moussallam@telecom-paristech.fr or visit: http://perso.telecom-paristech.fr/~moussall/ RSSMP is a modification of MP that randomly choose a subdictionary at each iteration, thus speeding the decomposition while ensuring good convergence of the residuals energy. Implementation of MP and OMP is VERY naive here, much better implementations are available online (e.g. in MathWorks). It is only provided so as to emphasize the benefits of the randomized pursuit. Simply run test_RSSMP.m on Matlab to compare performances of plain MP versus RSSMP

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