Block recursive least squares dictionary learning algorithm

The block recursive least square (BRLS) dictionary learning algorithm that dealing with training data arranged in block is proposed in this paper. BRLS can be used to update overcomplete dictionary for sparse signal representation. Different from traditional recursive least square algorithms, BRLS i...

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Veröffentlicht in:	Chinese Control and Decision Conference S. 1961 - 1964
Hauptverfasser:	Jiang, Qianru, Li, Sheng, Lu, Zeru, Sun, Binbin
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2016
Schlagworte:	Algorithm design and analysis Algorithms block Conferences Dictionaries Electronics Learning Least squares method Matching pursuit algorithms Overcomplete dictionary Recursion recursive least square Representations Signal to noise ratio Sparse matrices sparse representation Training Training data
ISSN:	1948-9447
Online-Zugang:	Volltext
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