Publication Information

{'id': 'https://openalex.org/W2077904456', 'doi': 'https://doi.org/10.1109/ieecon.2014.6925959', 'title': 'An introduction to compressive sensing for digital signal reconstruction and its implementation on digital image reconstruction', 'display_name': 'An introduction to compressive sensing for digital signal reconstruction and its implementation on digital image reconstruction', 'publication_year': 2014, 'publication_date': '2014-03-01', 'ids': {'openalex': 'https://openalex.org/W2077904456', 'doi': 'https://doi.org/10.1109/ieecon.2014.6925959', 'mag': '2077904456'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/ieecon.2014.6925959', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363606159', 'display_name': '2022 International Electrical Engineering Congress (iEECON)', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5067228924', 'display_name': 'Pham Hong Ha', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I115748381', 'display_name': 'Assumption University', 'ror': 'https://ror.org/03zmqc707', 'country_code': 'TH', 'type': 'education', 'lineage': ['https://openalex.org/I115748381']}], 'countries': ['TH'], 'is_corresponding': False, 'raw_author_name': 'None Pham Hong Ha', 'raw_affiliation_strings': ['[Faculty of Science and Technology, Assumption University, Bangkok, Thailand]'], 'affiliations': [{'raw_affiliation_string': '[Faculty of Science and Technology, Assumption University, Bangkok, Thailand]', 'institution_ids': ['https://openalex.org/I115748381']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5049032225', 'display_name': 'Wilaiporn Lee', 'orcid': 'https://orcid.org/0000-0001-7484-0246'}, 'institutions': [{'id': 'https://openalex.org/I82828225', 'display_name': "King Mongkut's University of Technology North Bangkok", 'ror': 'https://ror.org/04fy6jb97', 'country_code': 'TH', 'type': 'education', 'lineage': ['https://openalex.org/I82828225']}], 'countries': ['TH'], 'is_corresponding': False, 'raw_author_name': 'Wilaiporn Lee', 'raw_affiliation_strings': ["Department of Electrical Engineering Faculty of Engineering King, Mongkut's University of Technology North Bangkok, Thailand"], 'affiliations': [{'raw_affiliation_string': "Department of Electrical Engineering Faculty of Engineering King, Mongkut's University of Technology North Bangkok, Thailand", 'institution_ids': ['https://openalex.org/I82828225']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5034032315', 'display_name': 'Vorapoj Patanavijit', 'orcid': 'https://orcid.org/0000-0002-9122-1276'}, 'institutions': [{'id': 'https://openalex.org/I115748381', 'display_name': 'Assumption University', 'ror': 'https://ror.org/03zmqc707', 'country_code': 'TH', 'type': 'education', 'lineage': ['https://openalex.org/I115748381']}], 'countries': ['TH'], 'is_corresponding': False, 'raw_author_name': 'Vorapoj Patanavijit', 'raw_affiliation_strings': ['Assumption Univ., Bangkok, , Thailand'], 'affiliations': [{'raw_affiliation_string': 'Assumption Univ., Bangkok, , Thailand', 'institution_ids': ['https://openalex.org/I115748381']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 1, 'citation_normalized_percentile': {'value': 0.304171, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 66, 'max': 73}, 'biblio': {'volume': None, 'issue': None, 'first_page': '1', 'last_page': '4'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10500', 'display_name': 'Sparse and Compressive Sensing Techniques', 'score': 1.0, 'subfield': {'id': 'https://openalex.org/subfields/2206', 'display_name': 'Computational Mechanics'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10500', 'display_name': 'Sparse and Compressive Sensing Techniques', 'score': 1.0, 'subfield': {'id': 'https://openalex.org/subfields/2206', 'display_name': 'Computational Mechanics'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11210', 'display_name': 'Mathematical Analysis and Transform Methods', 'score': 0.9949, 'subfield': {'id': 'https://openalex.org/subfields/2604', 'display_name': 'Applied Mathematics'}, 'field': {'id': 'https://openalex.org/fields/26', 'display_name': 'Mathematics'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T12015', 'display_name': 'Photoacoustic and Ultrasonic Imaging', 'score': 0.993, 'subfield': {'id': 'https://openalex.org/subfields/2204', 'display_name': 'Biomedical Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/nyquist-rate', 'display_name': 'Nyquist rate', 'score': 0.8007054}, {'id': 'https://openalex.org/keywords/signal-reconstruction', 'display_name': 'Signal reconstruction', 'score': 0.62035817}, {'id': 'https://openalex.org/keywords/nyquist–shannon-sampling-theorem', 'display_name': 'Nyquist–Shannon sampling theorem', 'score': 0.5855197}, {'id': 'https://openalex.org/keywords/reconstruction-algorithm', 'display_name': 'Reconstruction algorithm', 'score': 0.4522151}, {'id': 'https://openalex.org/keywords/signal', 'display_name': 'SIGNAL (programming language)', 'score': 0.42113516}], 'concepts': [{'id': 'https://openalex.org/C124851039', 'wikidata': 'https://www.wikidata.org/wiki/Q2665459', 'display_name': 'Compressed sensing', 'level': 2, 'score': 0.843064}, {'id': 'https://openalex.org/C65914096', 'wikidata': 'https://www.wikidata.org/wiki/Q6273772', 'display_name': 'Nyquist rate', 'level': 4, 'score': 0.8007054}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.68566954}, {'id': 'https://openalex.org/C70958404', 'wikidata': 'https://www.wikidata.org/wiki/Q7512728', 'display_name': 'Signal reconstruction', 'level': 4, 'score': 0.62035817}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.5928708}, {'id': 'https://openalex.org/C288623', 'wikidata': 'https://www.wikidata.org/wiki/Q679800', 'display_name': 'Nyquist–Shannon sampling theorem', 'level': 2, 'score': 0.5855197}, {'id': 'https://openalex.org/C141379421', 'wikidata': 'https://www.wikidata.org/wiki/Q6094427', 'display_name': 'Iterative reconstruction', 'level': 2, 'score': 0.52417964}, {'id': 'https://openalex.org/C78548338', 'wikidata': 'https://www.wikidata.org/wiki/Q2493', 'display_name': 'Data compression', 'level': 2, 'score': 0.47178647}, {'id': 'https://openalex.org/C2776257435', 'wikidata': 'https://www.wikidata.org/wiki/Q1576430', 'display_name': 'Bandwidth (computing)', 'level': 2, 'score': 0.46301836}, {'id': 'https://openalex.org/C2779898584', 'wikidata': 'https://www.wikidata.org/wiki/Q7820109', 'display_name': 'Reconstruction algorithm', 'level': 3, 'score': 0.4522151}, {'id': 'https://openalex.org/C104267543', 'wikidata': 'https://www.wikidata.org/wiki/Q208163', 'display_name': 'Signal processing', 'level': 3, 'score': 0.45117962}, {'id': 'https://openalex.org/C163985040', 'wikidata': 'https://www.wikidata.org/wiki/Q1172399', 'display_name': 'Data acquisition', 'level': 2, 'score': 0.42616326}, {'id': 'https://openalex.org/C140779682', 'wikidata': 'https://www.wikidata.org/wiki/Q210868', 'display_name': 'Sampling (signal processing)', 'level': 3, 'score': 0.42387903}, {'id': 'https://openalex.org/C2779843651', 'wikidata': 'https://www.wikidata.org/wiki/Q7390335', 'display_name': 'SIGNAL (programming language)', 'level': 2, 'score': 0.42113516}, {'id': 'https://openalex.org/C84462506', 'wikidata': 'https://www.wikidata.org/wiki/Q173142', 'display_name': 'Digital signal processing', 'level': 2, 'score': 0.34691608}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.2553426}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.25208494}, {'id': 'https://openalex.org/C76155785', 'wikidata': 'https://www.wikidata.org/wiki/Q418', 'display_name': 'Telecommunications', 'level': 1, 'score': 0.13492867}, {'id': 'https://openalex.org/C106131492', 'wikidata': 'https://www.wikidata.org/wiki/Q3072260', 'display_name': 'Filter (signal processing)', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C9390403', 'wikidata': 'https://www.wikidata.org/wiki/Q3966', 'display_name': 'Computer hardware', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C111919701', 'wikidata': 'https://www.wikidata.org/wiki/Q9135', 'display_name': 'Operating system', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/ieecon.2014.6925959', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363606159', 'display_name': '2022 International Electrical Engineering Congress (iEECON)', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 20, 'referenced_works': ['https://openalex.org/W1581232847', 'https://openalex.org/W1986931325', 'https://openalex.org/W2020390700', 'https://openalex.org/W2034260606', 'https://openalex.org/W2075894130', 'https://openalex.org/W2078204800', 'https://openalex.org/W2099641086', 'https://openalex.org/W2127271355', 'https://openalex.org/W2129131372', 'https://openalex.org/W2129638195', 'https://openalex.org/W2135046866', 'https://openalex.org/W2141713516', 'https://openalex.org/W2145096794', 'https://openalex.org/W2154304330', 'https://openalex.org/W2164452299', 'https://openalex.org/W2296616510', 'https://openalex.org/W2400972628', 'https://openalex.org/W403935824', 'https://openalex.org/W4210992409', 'https://openalex.org/W4250955649'], 'related_works': ['https://openalex.org/W4387870235', 'https://openalex.org/W3001645640', 'https://openalex.org/W2497512603', 'https://openalex.org/W2468414543', 'https://openalex.org/W2393783098', 'https://openalex.org/W2379468505', 'https://openalex.org/W2210983845', 'https://openalex.org/W2154003813', 'https://openalex.org/W2071548530', 'https://openalex.org/W2054047433'], 'abstract_inverted_index': {'Shannon/Nyquist': [0], 'theorem': [1], 'underlies': [2], 'most': [3, 39], 'of': [4, 29, 40, 67, 85, 107, 125, 144], 'the': [5, 18, 27, 30, 41, 49, 71, 82, 86, 91, 95, 100, 123, 135], 'algorithms': [6, 102, 121], 'in': [7, 13, 37, 103, 114, 162, 175], 'signal': [8, 163], 'processing': [9, 164], 'and': [10, 111, 128, 157, 174], 'data': [11, 108], 'acquisition': [12], 'such': [14], 'a': [15, 115, 159], 'way': [16], 'that': [17, 80], 'required': [19], 'sampling': [20, 83], 'rate': [21, 84], 'is': [22, 51, 55, 77, 109, 154], 'at': [23, 44], 'least': [24], '2': [25], 'times': [26], 'frequency': [28], 'signal.': [31], 'However': [32], 'there': [33], 'are': [34, 122], 'many': [35], 'cases': [36], 'which': [38, 104], 'information': [42, 93], 'covers': [43], 'some': [45, 176], 'particular': [46], 'components': [47, 61], 'while': [48, 88], 'rest': [50], 'worthless.': [52], 'Therefore': [53], 'it': [54], 'very': [56], 'useful': [57], 'if': [58], 'those': [59], 'significant': [60], 'can': [62], 'be': [63, 158], 'directly': [64], 'collected': [65, 110], 'instead': [66], 'wasting': [68], 'bandwidth': [69], 'for': [70, 94], 'unnecessary': [72], 'ones.': [73], 'Compressive': [74], 'Sensing': [75], '(CS)': [76], 'an': [78, 139, 147], 'algorithm': [79, 161], 'minimizes': [81], 'signals': [87], 'still': [89], 'retaining': [90], 'necessary': [92], 'reconstruction': [96, 136], 'process.': [97], 'It': [98], 'bypasses': [99], 'current': [101], 'large': [105], 'amount': [106], 'then': [112], 'remove': [113], 'consequent': [116], 'compression': [117], 'step.': [118], 'Every': [119], 'CS': [120, 153], 'combination': [124], 'random': [126], 'kernels': [127], 'non': [129], 'parametric': [130], 'estimation': [131], 'techniques.': [132], 'In': [133], 'general,': [134], 'framework': [137], 'estimates': [138], 'under': [140], 'determined': [141], 'linear': [142], 'system': [143], 'solutions': [145], 'with': [146], 'unknown': [148], 'compressible': [149], 'or': [150], 'sparse': [151], 'signals.': [152], 'applied': [155], 'broadly': [156], 'novel': [160], 'including:': [165], 'Channel': [166], 'Coding,': [167], 'Inverse': [168], 'Problem,': [169], 'Data': [170, 172], 'Compression,': [171], 'Acquisition': [173], 'fields': [177], 'where': [178], 'hardware': [179], 'has': [180], 'limitation.': [181]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2077904456', 'counts_by_year': [{'year': 2020, 'cited_by_count': 1}], 'updated_date': '2024-12-13T13:10:55.738201', 'created_date': '2016-06-24'}