Learning Dictionaries with Bounded Self-Coherence
IEEE Signal Processing Letters(2012)
摘要
Sparse coding in learned dictionaries has been established as a successful approach for signal denoising, source separation and solving inverse problems in general. A dictionary learning method adapts an initial dictionary to a particular signal class by iteratively computing an approximate factorization of a training data matrix into a dictionary and a sparse coding matrix. The learned dictionary...
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关键词
Dictionaries,Encoding,Coherence,Approximation algorithms,Atomic measurements,Sparse matrices,Approximation error
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