DocumentCode :
1895090
Title :
Sparseness Via l 2 - Norm Minimization?
Author :
Marti-Lopez, F.
Author_Institution :
Dept. of NeuroPhysics, Cuban Neurosci. Center, Havana
fYear :
2005
fDate :
17-20 July 2005
Firstpage :
739
Lastpage :
744
Abstract :
In this paper, the common general opinion that l2 - norm can not lead to sparse adaptive representations of discretized signals is refuted by formulating, a certain heuristic l2 - norm signal decomposition procedure that empirically provides them as cotrexamples, whichever the signal and the dictionary are
Keywords :
adaptive signal processing; minimisation; signal representation; discretized signals; norm minimization; norm signal decomposition procedure; sparse adaptive representations; Adaptive arrays; Dictionaries; Functional programming; Least squares methods; Linear programming; Mathematical programming; Signal representations; Signal resolution; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-9403-8
Type :
conf
DOI :
10.1109/SSP.2005.1628692
Filename :
1628692
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=1895090
بازگشت