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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| Published in: | Journal of physics. Conference series Vol. 1948; no. 1; pp. 12054 - 12058 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Bristol
IOP Publishing
01.06.2021
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| Subjects: | |
| ISSN: | 1742-6588, 1742-6596 |
| Online Access: | Get full text |
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| Summary: | 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. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1742-6588 1742-6596 |
| DOI: | 10.1088/1742-6596/1948/1/012054 |