Changes
On December 16, 2024 at 7:58:27 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Retrieving sinusoids from nonuniformly sampled data using recursive formulation -
Changed value of field
doi_date_published
to2024-12-16
in Retrieving sinusoids from nonuniformly sampled data using recursive formulation -
Added resource Original Metadata to Retrieving sinusoids from nonuniformly sampled data using recursive formulation
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Ivan Maric", | 3 | "author": "Ivan Maric", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
7 | "defined_in": "https://doi.org/10.1016/j.eswa.2016.10.057", | 7 | "defined_in": "https://doi.org/10.1016/j.eswa.2016.10.057", | ||
8 | "doi": "10.57702/48g0y6rj", | 8 | "doi": "10.57702/48g0y6rj", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-16", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
n | 11 | "doi_status": false, | n | 11 | "doi_status": true, |
12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "groups": [ | 13 | "groups": [ | ||
14 | { | 14 | { | ||
15 | "description": "", | 15 | "description": "", | ||
16 | "display_name": "Predictive least squares", | 16 | "display_name": "Predictive least squares", | ||
17 | "id": "68b1f602-4ace-4f38-ac13-d549a765743f", | 17 | "id": "68b1f602-4ace-4f38-ac13-d549a765743f", | ||
18 | "image_display_url": "", | 18 | "image_display_url": "", | ||
19 | "name": "predictive-least-squares", | 19 | "name": "predictive-least-squares", | ||
20 | "title": "Predictive least squares" | 20 | "title": "Predictive least squares" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "description": "", | 23 | "description": "", | ||
24 | "display_name": "Signal decomposition", | 24 | "display_name": "Signal decomposition", | ||
25 | "id": "d0294ccd-972e-487f-ad5c-e06ed84d0499", | 25 | "id": "d0294ccd-972e-487f-ad5c-e06ed84d0499", | ||
26 | "image_display_url": "", | 26 | "image_display_url": "", | ||
27 | "name": "signal-decomposition", | 27 | "name": "signal-decomposition", | ||
28 | "title": "Signal decomposition" | 28 | "title": "Signal decomposition" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "description": "", | 31 | "description": "", | ||
32 | "display_name": "Signal recovery", | 32 | "display_name": "Signal recovery", | ||
33 | "id": "d594beb0-4806-494b-beb0-3b39c354bd76", | 33 | "id": "d594beb0-4806-494b-beb0-3b39c354bd76", | ||
34 | "image_display_url": "", | 34 | "image_display_url": "", | ||
35 | "name": "signal-recovery", | 35 | "name": "signal-recovery", | ||
36 | "title": "Signal recovery" | 36 | "title": "Signal recovery" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "description": "", | 39 | "description": "", | ||
40 | "display_name": "Sparse set of sinusoids", | 40 | "display_name": "Sparse set of sinusoids", | ||
41 | "id": "491a727d-7f47-4966-a892-7215c6a3de27", | 41 | "id": "491a727d-7f47-4966-a892-7215c6a3de27", | ||
42 | "image_display_url": "", | 42 | "image_display_url": "", | ||
43 | "name": "sparse-set-of-sinusoids", | 43 | "name": "sparse-set-of-sinusoids", | ||
44 | "title": "Sparse set of sinusoids" | 44 | "title": "Sparse set of sinusoids" | ||
45 | }, | 45 | }, | ||
46 | { | 46 | { | ||
47 | "description": "", | 47 | "description": "", | ||
48 | "display_name": "Time Series Modeling", | 48 | "display_name": "Time Series Modeling", | ||
49 | "id": "7ccb1f79-0971-4318-8e7c-6907de9ebef5", | 49 | "id": "7ccb1f79-0971-4318-8e7c-6907de9ebef5", | ||
50 | "image_display_url": "", | 50 | "image_display_url": "", | ||
51 | "name": "time-series-modeling", | 51 | "name": "time-series-modeling", | ||
52 | "title": "Time Series Modeling" | 52 | "title": "Time Series Modeling" | ||
53 | } | 53 | } | ||
54 | ], | 54 | ], | ||
55 | "id": "58cc5a0a-aedb-429e-8be4-dec0c203a488", | 55 | "id": "58cc5a0a-aedb-429e-8be4-dec0c203a488", | ||
56 | "isopen": false, | 56 | "isopen": false, | ||
57 | "landing_page": "", | 57 | "landing_page": "", | ||
58 | "license_title": null, | 58 | "license_title": null, | ||
59 | "link_orkg": "", | 59 | "link_orkg": "", | ||
60 | "metadata_created": "2024-12-16T19:58:26.100336", | 60 | "metadata_created": "2024-12-16T19:58:26.100336", | ||
n | 61 | "metadata_modified": "2024-12-16T19:58:26.100342", | n | 61 | "metadata_modified": "2024-12-16T19:58:26.480179", |
62 | "name": | 62 | "name": | ||
63 | sinusoids-from-nonuniformly-sampled-data-using-recursive-formulation", | 63 | sinusoids-from-nonuniformly-sampled-data-using-recursive-formulation", | ||
64 | "notes": "A heuristic procedure based on novel recursive formulation | 64 | "notes": "A heuristic procedure based on novel recursive formulation | ||
65 | of sinusoid (RFS) and on regression with predictive least-squares (LS) | 65 | of sinusoid (RFS) and on regression with predictive least-squares (LS) | ||
66 | enables to decompose both uniformly and nonuniformly sampled 1-d | 66 | enables to decompose both uniformly and nonuniformly sampled 1-d | ||
67 | signals into a sparse set of sinusoids (SSS).", | 67 | signals into a sparse set of sinusoids (SSS).", | ||
n | 68 | "num_resources": 0, | n | 68 | "num_resources": 1, |
69 | "num_tags": 4, | 69 | "num_tags": 4, | ||
70 | "organization": { | 70 | "organization": { | ||
71 | "approval_status": "approved", | 71 | "approval_status": "approved", | ||
72 | "created": "2024-11-25T12:11:38.292601", | 72 | "created": "2024-11-25T12:11:38.292601", | ||
73 | "description": "", | 73 | "description": "", | ||
74 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 74 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
75 | "image_url": "", | 75 | "image_url": "", | ||
76 | "is_organization": true, | 76 | "is_organization": true, | ||
77 | "name": "no-organization", | 77 | "name": "no-organization", | ||
78 | "state": "active", | 78 | "state": "active", | ||
79 | "title": "No Organization", | 79 | "title": "No Organization", | ||
80 | "type": "organization" | 80 | "type": "organization" | ||
81 | }, | 81 | }, | ||
82 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 82 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
83 | "private": false, | 83 | "private": false, | ||
84 | "relationships_as_object": [], | 84 | "relationships_as_object": [], | ||
85 | "relationships_as_subject": [], | 85 | "relationships_as_subject": [], | ||
t | 86 | "resources": [], | t | 86 | "resources": [ |
87 | { | ||||
88 | "cache_last_updated": null, | ||||
89 | "cache_url": null, | ||||
90 | "created": "2024-12-16T18:25:43", | ||||
91 | "data": [ | ||||
92 | "dcterms:title", | ||||
93 | "dcterms:accessRights", | ||||
94 | "dcterms:creator", | ||||
95 | "dcterms:description", | ||||
96 | "dcterms:issued", | ||||
97 | "dcterms:language", | ||||
98 | "dcterms:identifier", | ||||
99 | "dcat:theme", | ||||
100 | "dcterms:type", | ||||
101 | "dcat:keyword", | ||||
102 | "dcat:landingPage", | ||||
103 | "dcterms:hasVersion", | ||||
104 | "dcterms:format", | ||||
105 | "mls:task", | ||||
106 | "datacite:isDescribedBy" | ||||
107 | ], | ||||
108 | "description": "The json representation of the dataset with its | ||||
109 | distributions based on DCAT.", | ||||
110 | "format": "JSON", | ||||
111 | "hash": "", | ||||
112 | "id": "21977690-b712-4c07-8415-372d3fb20a5f", | ||||
113 | "last_modified": "2024-12-16T19:58:26.471897", | ||||
114 | "metadata_modified": "2024-12-16T19:58:26.483244", | ||||
115 | "mimetype": "application/json", | ||||
116 | "mimetype_inner": null, | ||||
117 | "name": "Original Metadata", | ||||
118 | "package_id": "58cc5a0a-aedb-429e-8be4-dec0c203a488", | ||||
119 | "position": 0, | ||||
120 | "resource_type": null, | ||||
121 | "size": 986, | ||||
122 | "state": "active", | ||||
123 | "url": | ||||
124 | resource/21977690-b712-4c07-8415-372d3fb20a5f/download/metadata.json", | ||||
125 | "url_type": "upload" | ||||
126 | } | ||||
127 | ], | ||||
87 | "services_used_list": "", | 128 | "services_used_list": "", | ||
88 | "state": "active", | 129 | "state": "active", | ||
89 | "tags": [ | 130 | "tags": [ | ||
90 | { | 131 | { | ||
91 | "display_name": "least-squares regression", | 132 | "display_name": "least-squares regression", | ||
92 | "id": "e86ab3c6-e2ea-471a-ab26-d08a69f593f5", | 133 | "id": "e86ab3c6-e2ea-471a-ab26-d08a69f593f5", | ||
93 | "name": "least-squares regression", | 134 | "name": "least-squares regression", | ||
94 | "state": "active", | 135 | "state": "active", | ||
95 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
96 | }, | 137 | }, | ||
97 | { | 138 | { | ||
98 | "display_name": "nonuniformly sampled data", | 139 | "display_name": "nonuniformly sampled data", | ||
99 | "id": "70a51d6e-1b5e-42cd-abab-c4682b99d4e0", | 140 | "id": "70a51d6e-1b5e-42cd-abab-c4682b99d4e0", | ||
100 | "name": "nonuniformly sampled data", | 141 | "name": "nonuniformly sampled data", | ||
101 | "state": "active", | 142 | "state": "active", | ||
102 | "vocabulary_id": null | 143 | "vocabulary_id": null | ||
103 | }, | 144 | }, | ||
104 | { | 145 | { | ||
105 | "display_name": "recursive formulation", | 146 | "display_name": "recursive formulation", | ||
106 | "id": "1300b1a2-5217-4166-9141-4008afa84920", | 147 | "id": "1300b1a2-5217-4166-9141-4008afa84920", | ||
107 | "name": "recursive formulation", | 148 | "name": "recursive formulation", | ||
108 | "state": "active", | 149 | "state": "active", | ||
109 | "vocabulary_id": null | 150 | "vocabulary_id": null | ||
110 | }, | 151 | }, | ||
111 | { | 152 | { | ||
112 | "display_name": "sinusoids", | 153 | "display_name": "sinusoids", | ||
113 | "id": "77139005-e39a-4a31-97da-945a16f4172d", | 154 | "id": "77139005-e39a-4a31-97da-945a16f4172d", | ||
114 | "name": "sinusoids", | 155 | "name": "sinusoids", | ||
115 | "state": "active", | 156 | "state": "active", | ||
116 | "vocabulary_id": null | 157 | "vocabulary_id": null | ||
117 | } | 158 | } | ||
118 | ], | 159 | ], | ||
119 | "title": "Retrieving sinusoids from nonuniformly sampled data using | 160 | "title": "Retrieving sinusoids from nonuniformly sampled data using | ||
120 | recursive formulation", | 161 | recursive formulation", | ||
121 | "type": "dataset", | 162 | "type": "dataset", | ||
122 | "version": "" | 163 | "version": "" | ||
123 | } | 164 | } |