Translation-invariant shrinkage/thresholding of group sparse signals
نویسندگان
چکیده
منابع مشابه
Translation-Invariant Shrinkage/Thresholding of Group Sparse Signals
This paper addresses signal denoising when large-amplitude coefficients form clusters (groups). The L1-norm and other separable sparsity models do not capture the tendency of coefficients to cluster (group sparsity). This work develops an algorithm, called ‘overlapping group shrinkage’ (OGS), based on the minimization of a convex cost function involving a group-sparsity promoting penalty functi...
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متن کاملTranslation Invariant Approach for Measuring Similarity of Signals
In many signal processing applications, an appropriate measure to compare two signals plays a fundamental role in both implementing the algorithm and evaluating its performance. Several techniques have been introduced in literature as similarity measures. However, the existing measures are often either impractical for some applications or they have unsatisfactory results in some other applicati...
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ژورنال
عنوان ژورنال: Signal Processing
سال: 2014
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2013.06.011