Mercurial > hg > smallbox
annotate DL/Majorization Minimization DL/AudioDicoLearning/AudioDicoLearning_Demo.m @ 180:28b20fd46ba7 danieleb
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author | Daniele Barchiesi <daniele.barchiesi@eecs.qmul.ac.uk> |
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date | Thu, 17 Nov 2011 13:01:55 +0000 |
parents | b14209313ba4 |
children |
rev | line source |
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ivan@155 | 1 M = '256'; |
ivan@155 | 2 N = '512'; |
ivan@155 | 3 L = '8192'; % N*16; |
ivan@155 | 4 IT = '100'; % For a full convergence at least '10000' iterations; |
ivan@155 | 5 Lambda = '.01'; % Lagrangian multiplier |
ivan@155 | 6 admiss = 'un'; % admissible set for dictionaries 'bn' = bounded norm, 'un' = unit norm |
ivan@155 | 7 tic |
ivan@155 | 8 DLMM_Audio(M,N,L,IT,Lambda,admiss) |
ivan@155 | 9 toc |