Normalised iterative hard thresholding: guaranteed stability and performance
Sparse signal models are used in many signal processing applications. The task of estimating the sparsest coefficient vector in these models is a combinatorial problem and efficient, often suboptimal strategies have to be used. Fortunately, under certain conditions on the model, several algorithms c...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2010-03-15.
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Subjects: | |
Online Access: | Get fulltext |