Reconstructions for Analytic Signals Based on Greedy Algorithm

In this paper, we utilize greedy algorithm to approximate analytic signals and transfer functions sparsely. Based on reproducing kernels of Hardy space, a redundant dictionary is constructed. The approximating strategy relies on matching pursuit which is an implementation of greedy algorithm. A nume...

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Vydáno v:Journal of physics. Conference series Ročník 1948; číslo 1; s. 12054 - 12058
Hlavní autor: Shuang, Li
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bristol IOP Publishing 01.06.2021
Témata:
Algorithms
Greedy algorithms
Matched pursuit
Physics
Transfer functions
ISSN:1742-6588, 1742-6596
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Abstract In this paper, we utilize greedy algorithm to approximate analytic signals and transfer functions sparsely. Based on reproducing kernels of Hardy space, a redundant dictionary is constructed. The approximating strategy relies on matching pursuit which is an implementation of greedy algorithm. A numerical example and Python codes are provided to illustrate the idea.
AbstractList In this paper, we utilize greedy algorithm to approximate analytic signals and transfer functions sparsely. Based on reproducing kernels of Hardy space, a redundant dictionary is constructed. The approximating strategy relies on matching pursuit which is an implementation of greedy algorithm. A numerical example and Python codes are provided to illustrate the idea.
Author Shuang, Li
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  organization: Computer Engineering Technical College (Artificial Intelligence College) Guangdong Polytechnic of Science and Technology (GDPST) , China
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Cites_doi 10.1002/mma.5837
10.1007/BF02678430
10.1109/TAC.2003.809761
ContentType Journal Article
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SubjectTerms Algorithms
Greedy algorithms
Matched pursuit
Physics
Transfer functions
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