Hierarchical CoSaMP for compressively sampled sparse signals with nested structure: Doc 657
Hierarchical CoSaMP for compressively sampled sparse signals with nested structure: Doc 657
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Publisher
New York: Springer Nature B.V
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Language
English
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Publisher
New York: Springer Nature B.V
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Scope and Contents
Contents
This paper presents a novel procedure, named Hierarchical Compressive Sampling Matching Pursuit (CoSaMP), for reconstruction of compressively sampled sparse signals whose coefficients are organized according to a nested structure. The Hierarchical CoSaMP is inspired by the CoSaMP algorithm, and it is based on a suitable hierarchical extension of th...
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Full title
Hierarchical CoSaMP for compressively sampled sparse signals with nested structure: Doc 657
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Record Identifier
TN_cdi_proquest_journals_1543409982
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1543409982
Other Identifiers
ISSN
1687-6172
E-ISSN
1687-6180
DOI
10.1186/1687-6180-2014-80
