Sparseness via L2-norm minimization?

被引：0
|
作者：
Marti-Lopez, F. [1 ]
机构：
[1] Cuban Neurosci Ctr, Neurophys Dept, Havana, Cuba
来源：
2005 IEEE/SP 13TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING (SSP), VOLS 1 AND 2 | 2005年
关键词：
sparseness; adaptive signal representation; Method of Frames; Basis Pursuit; bilevel linear least squares problems in finite dimensions;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, the common general opinion that l(2)-norm can not lead to sparse adaptive representations of discretized signals is refuted by formulating, a certain heuristic l(2) - norm signal decomposition procedure that empirically provides them as contrexamples, whichever the signal and the dictionary are.
引用
收藏
页码：687 / 691
页数：5
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