Publication Information

{'id': 'https://openalex.org/W2544652799', 'doi': 'https://doi.org/10.1109/iccps.2014.7062285', 'title': 'Research on application of compressed sensing based on signal decomposition', 'display_name': 'Research on application of compressed sensing based on signal decomposition', 'publication_year': 2014, 'publication_date': '2014-12-01', 'ids': {'openalex': 'https://openalex.org/W2544652799', 'doi': 'https://doi.org/10.1109/iccps.2014.7062285', 'mag': '2544652799'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/iccps.2014.7062285', 'pdf_url': None, 'source': None, '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/A5040369836', 'display_name': 'T.Y.C. Wei', 'orcid': 'https://orcid.org/0009-0001-8161-0227'}, 'institutions': [{'id': 'https://openalex.org/I139759216', 'display_name': 'Beijing University of Posts and Telecommunications', 'ror': 'https://ror.org/04w9fbh59', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I139759216']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'None Taicheng Wei', 'raw_affiliation_strings': ['Beijing University of Posts and Telecommunications, Beijing, China'], 'affiliations': [{'raw_affiliation_string': 'Beijing University of Posts and Telecommunications, Beijing, China', 'institution_ids': ['https://openalex.org/I139759216']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5100379063', 'display_name': 'Haiying Wang', 'orcid': 'https://orcid.org/0000-0002-2058-5443'}, 'institutions': [{'id': 'https://openalex.org/I139759216', 'display_name': 'Beijing University of Posts and Telecommunications', 'ror': 'https://ror.org/04w9fbh59', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I139759216']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'None Haiying Wang', 'raw_affiliation_strings': ['Beijing University of Posts and Telecommunications, Beijing, China'], 'affiliations': [{'raw_affiliation_string': 'Beijing University of Posts and Telecommunications, Beijing, China', 'institution_ids': ['https://openalex.org/I139759216']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.663, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 3, 'citation_normalized_percentile': {'value': 0.597366, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 76, 'max': 79}, 'biblio': {'volume': None, 'issue': None, 'first_page': '326', 'last_page': '331'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10500', 'display_name': 'Sparse and Compressive Sensing Techniques', 'score': 0.9999, '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': 0.9999, '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/T12015', 'display_name': 'Photoacoustic and Ultrasonic Imaging', 'score': 0.9988, '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'}}, {'id': 'https://openalex.org/T10688', 'display_name': 'Image and Signal Denoising Methods', 'score': 0.994, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/signal', 'display_name': 'SIGNAL (programming language)', 'score': 0.7338432}, {'id': 'https://openalex.org/keywords/signal-reconstruction', 'display_name': 'Signal reconstruction', 'score': 0.6869733}, {'id': 'https://openalex.org/keywords/matrix', 'display_name': 'Matrix (chemical analysis)', 'score': 0.41391343}], 'concepts': [{'id': 'https://openalex.org/C124851039', 'wikidata': 'https://www.wikidata.org/wiki/Q2665459', 'display_name': 'Compressed sensing', 'level': 2, 'score': 0.9373415}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.73594034}, {'id': 'https://openalex.org/C2779843651', 'wikidata': 'https://www.wikidata.org/wiki/Q7390335', 'display_name': 'SIGNAL (programming language)', 'level': 2, 'score': 0.7338432}, {'id': 'https://openalex.org/C70958404', 'wikidata': 'https://www.wikidata.org/wiki/Q7512728', 'display_name': 'Signal reconstruction', 'level': 4, 'score': 0.6869733}, {'id': 'https://openalex.org/C124681953', 'wikidata': 'https://www.wikidata.org/wiki/Q339062', 'display_name': 'Decomposition', 'level': 2, 'score': 0.5339336}, {'id': 'https://openalex.org/C104267543', 'wikidata': 'https://www.wikidata.org/wiki/Q208163', 'display_name': 'Signal processing', 'level': 3, 'score': 0.5132289}, {'id': 'https://openalex.org/C2780009758', 'wikidata': 'https://www.wikidata.org/wiki/Q6804172', 'display_name': 'Measure (data warehouse)', 'level': 2, 'score': 0.46183252}, {'id': 'https://openalex.org/C140779682', 'wikidata': 'https://www.wikidata.org/wiki/Q210868', 'display_name': 'Sampling (signal processing)', 'level': 3, 'score': 0.45504016}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.45047602}, {'id': 'https://openalex.org/C56372850', 'wikidata': 'https://www.wikidata.org/wiki/Q1050404', 'display_name': 'Sparse matrix', 'level': 3, 'score': 0.42973807}, {'id': 'https://openalex.org/C106487976', 'wikidata': 'https://www.wikidata.org/wiki/Q685816', 'display_name': 'Matrix (chemical analysis)', 'level': 2, 'score': 0.41391343}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.32090962}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.20919758}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.20073527}, {'id': 'https://openalex.org/C84462506', 'wikidata': 'https://www.wikidata.org/wiki/Q173142', 'display_name': 'Digital signal processing', 'level': 2, 'score': 0.10071027}, {'id': 'https://openalex.org/C106131492', 'wikidata': 'https://www.wikidata.org/wiki/Q3072260', 'display_name': 'Filter (signal processing)', 'level': 2, 'score': 0.06297687}, {'id': 'https://openalex.org/C18903297', 'wikidata': 'https://www.wikidata.org/wiki/Q7150', 'display_name': 'Ecology', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C192562407', 'wikidata': 'https://www.wikidata.org/wiki/Q228736', 'display_name': 'Materials science', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C163716315', 'wikidata': 'https://www.wikidata.org/wiki/Q901177', 'display_name': 'Gaussian', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C159985019', 'wikidata': 'https://www.wikidata.org/wiki/Q181790', 'display_name': 'Composite material', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C86803240', 'wikidata': 'https://www.wikidata.org/wiki/Q420', 'display_name': 'Biology', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C9390403', 'wikidata': 'https://www.wikidata.org/wiki/Q3966', 'display_name': 'Computer hardware', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/iccps.2014.7062285', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'id': 'https://metadata.un.org/sdg/11', 'display_name': 'Sustainable cities and communities', 'score': 0.66}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 17, 'referenced_works': ['https://openalex.org/W1977252496', 'https://openalex.org/W1996830635', 'https://openalex.org/W2042671894', 'https://openalex.org/W2046658845', 'https://openalex.org/W2097677148', 'https://openalex.org/W2119667497', 'https://openalex.org/W2127271355', 'https://openalex.org/W2129812098', 'https://openalex.org/W2145096794', 'https://openalex.org/W2151693816', 'https://openalex.org/W2152824512', 'https://openalex.org/W2158701983', 'https://openalex.org/W2161950100', 'https://openalex.org/W2296616510', 'https://openalex.org/W4250955649', 'https://openalex.org/W4285719527', 'https://openalex.org/W67772112'], 'related_works': ['https://openalex.org/W4285251805', 'https://openalex.org/W4206981968', 'https://openalex.org/W3104324607', 'https://openalex.org/W2601968125', 'https://openalex.org/W2379468505', 'https://openalex.org/W2378166785', 'https://openalex.org/W2308961925', 'https://openalex.org/W2156466545', 'https://openalex.org/W2102910599', 'https://openalex.org/W1987102304'], 'abstract_inverted_index': {'Based': [0], 'on': [1, 89], 'compressed': [2, 85, 96, 107, 112, 137], 'sensing': [3, 86, 97, 108, 113, 138], '(CS)': [4], 'theory': [5], 'and': [6, 26, 38, 62, 65], 'its': [7], 'classical': [8], 'OMP': [9], 'reconstruction': [10, 156], 'algorithm,': [11], 'as': [12], 'to': [13, 158, 170], 'the': [14, 28, 53, 67, 73, 76, 82, 116, 150, 155, 163], 'problems': [15], 'that': [16, 39, 118], 'large': [17, 34], 'storage': [18], 'of': [19, 36, 43, 75, 84, 126, 173], 'measurement': [20], 'matrix': [21], 'is': [22, 45, 110, 168], 'needed': [23], 'when': [24, 47], 'sampling': [25], 'calculating': [27], 'whole': [29, 77], 'signal': [30, 54, 90], 'which': [31, 87, 175], 'has': [32, 176], 'a': [33, 40, 59, 103, 134, 159], 'amount': [35, 42], 'data': [37], 'huge': [41], 'time': [44], 'consumed': [46], 'reconstructing': [48], 'it,': [49], 'we': [50, 70, 132], 'can': [51, 71, 92, 153], 'decompose': [52], 'into': [55], 'many': [56], 'sub-signals': [57], 'through': [58], 'certain': [60, 124, 160], 'way,': [61], 'then': [63], 'measure': [64], 'reconstruct': [66], 'sub-signals.': [68], 'Finally,': [69], 'realize': [72], 'processing': [74, 123], 'segment': [78], 'signal.': [79], 'As': [80], 'above,': [81], 'application': [83, 178], 'based': [88], 'decomposition': [91], 'be': [93], 'called': [94], 'decomposed': [95, 106, 136], 'method': [98, 109, 152, 167], 'in': [99, 122, 139], 'this': [100, 140, 166], 'paper.': [101, 141], 'Currently,': [102], 'commonly': [104], 'used': [105], 'segmented': [111], '(SCS).': [114], 'For': [115], 'problem': [117], 'there': [119], 'are': [120], 'errors': [121], 'types': [125], 'sparse': [127], 'signals': [128], 'by': [129], 'SCS': [130], 'method,': [131], 'propose': [133], 'new': [135, 151], 'The': [142], 'simulation': [143], 'results': [144], 'show': [145], 'that,': [146], 'compared': [147], 'with': [148], 'SCS,': [149], 'improve': [154], 'efficiency': [157], 'extent.': [161], 'At': [162], 'same': [164], 'time,': [165], 'applicable': [169], 'any': [171], 'type': [172], 'signal,': [174], 'wider': [177], 'range.': [179]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2544652799', 'counts_by_year': [{'year': 2019, 'cited_by_count': 1}, {'year': 2016, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 1}], 'updated_date': '2024-12-11T14:44:11.885335', 'created_date': '2016-11-04'}