Publication Information

{'id': 'https://openalex.org/W2589640075', 'doi': 'https://doi.org/10.1109/icmlc.2016.7860945', 'title': 'A gradient descent sparse adaptive matching pursuit algorithm based on compressive sensing', 'display_name': 'A gradient descent sparse adaptive matching pursuit algorithm based on compressive sensing', 'publication_year': 2016, 'publication_date': '2016-07-01', 'ids': {'openalex': 'https://openalex.org/W2589640075', 'doi': 'https://doi.org/10.1109/icmlc.2016.7860945', 'mag': '2589640075'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/icmlc.2016.7860945', '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/A5100735883', 'display_name': 'Yan Zhou', 'orcid': 'https://orcid.org/0000-0002-3213-8229'}, 'institutions': [{'id': 'https://openalex.org/I14894300', 'display_name': 'Foshan University', 'ror': 'https://ror.org/02xvvvp28', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I14894300']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Yan Zhou', 'raw_affiliation_strings': ['Department of Computer Science, FoShan University, Foshan, Guangdong, China'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer Science, FoShan University, Foshan, Guangdong, China', 'institution_ids': ['https://openalex.org/I14894300']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5087782595', 'display_name': 'Fanzhi Zeng', 'orcid': 'https://orcid.org/0000-0002-6771-9664'}, 'institutions': [{'id': 'https://openalex.org/I14894300', 'display_name': 'Foshan University', 'ror': 'https://ror.org/02xvvvp28', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I14894300']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Fan-Zhi Zeng', 'raw_affiliation_strings': ['Department of Computer Science, FoShan University, Foshan, Guangdong, China'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer Science, FoShan University, Foshan, Guangdong, China', 'institution_ids': ['https://openalex.org/I14894300']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5100529736', 'display_name': 'Yanchun Gu', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I14894300', 'display_name': 'Foshan University', 'ror': 'https://ror.org/02xvvvp28', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I14894300']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Yan-Chun Gu', 'raw_affiliation_strings': ['Department of Computer Science, FoShan University, Foshan, Guangdong, China'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer Science, FoShan University, Foshan, Guangdong, China', 'institution_ids': ['https://openalex.org/I14894300']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 6, 'citation_normalized_percentile': {'value': 0.75979, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 82, 'max': 83}, 'biblio': {'volume': None, 'issue': None, 'first_page': '464', 'last_page': '469'}, '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/T14158', 'display_name': 'Optical Systems and Laser Technology', 'score': 0.9982, 'subfield': {'id': 'https://openalex.org/subfields/2208', 'display_name': 'Electrical and Electronic 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/T11038', 'display_name': 'Advanced SAR Imaging Techniques', 'score': 0.9975, 'subfield': {'id': 'https://openalex.org/subfields/2202', 'display_name': 'Aerospace 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/signal', 'display_name': 'SIGNAL (programming language)', 'score': 0.6523487}, {'id': 'https://openalex.org/keywords/signal-reconstruction', 'display_name': 'Signal reconstruction', 'score': 0.5458626}], 'concepts': [{'id': 'https://openalex.org/C156872377', 'wikidata': 'https://www.wikidata.org/wiki/Q6786281', 'display_name': 'Matching pursuit', 'level': 3, 'score': 0.84035856}, {'id': 'https://openalex.org/C124851039', 'wikidata': 'https://www.wikidata.org/wiki/Q2665459', 'display_name': 'Compressed sensing', 'level': 2, 'score': 0.75150216}, {'id': 'https://openalex.org/C153258448', 'wikidata': 'https://www.wikidata.org/wiki/Q1199743', 'display_name': 'Gradient descent', 'level': 3, 'score': 0.7187078}, {'id': 'https://openalex.org/C2779843651', 'wikidata': 'https://www.wikidata.org/wiki/Q7390335', 'display_name': 'SIGNAL (programming language)', 'level': 2, 'score': 0.6523487}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.5808397}, {'id': 'https://openalex.org/C70958404', 'wikidata': 'https://www.wikidata.org/wiki/Q7512728', 'display_name': 'Signal reconstruction', 'level': 4, 'score': 0.5458626}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5318152}, {'id': 'https://openalex.org/C57493831', 'wikidata': 'https://www.wikidata.org/wiki/Q3134666', 'display_name': 'Projection (relational algebra)', 'level': 2, 'score': 0.45290807}, {'id': 'https://openalex.org/C165064840', 'wikidata': 'https://www.wikidata.org/wiki/Q1321061', 'display_name': 'Matching (statistics)', 'level': 2, 'score': 0.42511106}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.40137982}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.39220157}, {'id': 'https://openalex.org/C104267543', 'wikidata': 'https://www.wikidata.org/wiki/Q208163', 'display_name': 'Signal processing', 'level': 3, 'score': 0.36384708}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.32667008}, {'id': 'https://openalex.org/C50644808', 'wikidata': 'https://www.wikidata.org/wiki/Q192776', 'display_name': 'Artificial neural network', 'level': 2, 'score': 0.05865717}, {'id': 'https://openalex.org/C76155785', 'wikidata': 'https://www.wikidata.org/wiki/Q418', 'display_name': 'Telecommunications', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C554190296', 'wikidata': 'https://www.wikidata.org/wiki/Q47528', 'display_name': 'Radar', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', '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/icmlc.2016.7860945', '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': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 17, 'referenced_works': ['https://openalex.org/W1974198688', 'https://openalex.org/W1987090397', 'https://openalex.org/W2022355771', 'https://openalex.org/W2065321782', 'https://openalex.org/W2069132725', 'https://openalex.org/W2082159770', 'https://openalex.org/W2083993605', 'https://openalex.org/W2100037283', 'https://openalex.org/W2109852700', 'https://openalex.org/W2119667497', 'https://openalex.org/W2129569662', 'https://openalex.org/W2160979406', 'https://openalex.org/W2314412269', 'https://openalex.org/W2354921305', 'https://openalex.org/W2569444610', 'https://openalex.org/W2963322354', 'https://openalex.org/W4250955649'], 'related_works': ['https://openalex.org/W4300881421', 'https://openalex.org/W2601968125', 'https://openalex.org/W2589640075', 'https://openalex.org/W2541304322', 'https://openalex.org/W2390272603', 'https://openalex.org/W2382972663', 'https://openalex.org/W2378166785', 'https://openalex.org/W2244779222', 'https://openalex.org/W2031284105', 'https://openalex.org/W1500786920'], 'abstract_inverted_index': {'Aiming': [0], 'at': [1], 'the': [2, 32, 36, 44, 56, 68, 75, 83, 105, 116, 123], 'problem': [3], 'of': [4, 38, 51, 64, 77, 126], 'original': [5, 113], 'signal': [6, 39, 96, 99, 128, 131, 140], 'reconstruction': [7, 40], 'based': [8, 60], 'on': [9, 61, 71, 82, 97, 111, 129], 'one-dimensional': [10], '(1D)': [11], 'compressive': [12], 'sensing': [13], '(CS),': [14], 'a': [15], 'gradient': [16, 57], 'descent': [17, 58], 'sparse': [18, 28, 72], 'adaptive': [19, 69], 'matching': [20, 124], 'pursuit': [21], '(GDSAMP)': [22], 'algorithm': [23, 52, 87, 107], 'is': [24, 41, 89], 'proposed': [25], 'for': [26, 91], '1D': [27], 'signal.': [29, 114], 'By': [30], 'setting': [31], 'augmented': [33], 'lagrange': [34], 'function,': [35], 'process': [37], 'transformed': [42], 'to': [43], 'unconstrained': [45], 'optimization': [46], 'problem.': [47], 'The': [48, 133], 'iteration': [49], 'procedure': [50], 'includes': [53], 'three': [54], 'steps:': [55], 'searching': [59], 'total': [62], 'deviations': [63], 'one-order': [65], 'and': [66, 74, 93, 146], 'two-order,': [67], 'cutting': [70], 'coefficients': [73], 'improvement': [76], 'least': [78], 'square': [79], 'projection.': [80], 'Based': [81], 'above': [84], 'steps,': [85], 'an': [86], 'framework': [88], 'designed': [90], 'recognizing': [92], 'locating': [94], 'sub-pattern': [95, 127], 'large': [98, 130], 'sets.': [100, 132], 'Experimental': [101], 'results': [102, 135], 'show': [103], 'that': [104], 'GDSAMP': [106], 'has': [108], 'better': [109], 'efficiency': [110], 'reconstructing': [112], 'At': [115], 'same': [117], 'time,': [118], 'it': [119], 'can': [120, 136], 'quickly': [121], 'locate': [122], 'interval': [125], 'researching': [134], 'be': [137], 'used': [138], 'in': [139], 'retrieval,': [141], 'voice': [142], 'recognition,': [143], 'image': [144], 'recognition': [145], 'computer': [147], 'vision,': [148], '...': [149], 'etc.': [150]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2589640075', 'counts_by_year': [{'year': 2023, 'cited_by_count': 1}, {'year': 2022, 'cited_by_count': 2}, {'year': 2021, 'cited_by_count': 2}, {'year': 2020, 'cited_by_count': 1}], 'updated_date': '2025-01-09T13:52:41.486685', 'created_date': '2017-03-03'}