Publication Information

{'id': 'https://openalex.org/W2034033637', 'doi': 'https://doi.org/10.1109/itaic.2014.7065108', 'title': 'Sparsity and Step-size adaptive regularized matching pursuit algorithm for compressed sensing', 'display_name': 'Sparsity and Step-size adaptive regularized matching pursuit algorithm for compressed sensing', 'publication_year': 2014, 'publication_date': '2014-12-01', 'ids': {'openalex': 'https://openalex.org/W2034033637', 'doi': 'https://doi.org/10.1109/itaic.2014.7065108', 'mag': '2034033637'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/itaic.2014.7065108', '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/A5009821583', 'display_name': 'Wei-Qiang Huang', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I19820366', 'display_name': 'Chinese Academy of Sciences', 'ror': 'https://ror.org/034t30j35', 'country_code': 'CN', 'type': 'government', 'lineage': ['https://openalex.org/I19820366']}, {'id': 'https://openalex.org/I4210156404', 'display_name': 'Institute of Information Engineering', 'ror': 'https://ror.org/04r53se39', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I19820366', 'https://openalex.org/I4210156404']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Huang Weiqiang', 'raw_affiliation_strings': ['Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.'], 'affiliations': [{'raw_affiliation_string': 'Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.', 'institution_ids': ['https://openalex.org/I19820366', 'https://openalex.org/I4210156404']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100621356', 'display_name': 'Jianlin Zhao', 'orcid': 'https://orcid.org/0000-0002-4619-1215'}, 'institutions': [{'id': 'https://openalex.org/I19820366', 'display_name': 'Chinese Academy of Sciences', 'ror': 'https://ror.org/034t30j35', 'country_code': 'CN', 'type': 'government', 'lineage': ['https://openalex.org/I19820366']}, {'id': 'https://openalex.org/I4210156404', 'display_name': 'Institute of Information Engineering', 'ror': 'https://ror.org/04r53se39', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I19820366', 'https://openalex.org/I4210156404']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Zhao Jianlin', 'raw_affiliation_strings': ['Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.'], 'affiliations': [{'raw_affiliation_string': 'Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.', 'institution_ids': ['https://openalex.org/I19820366', 'https://openalex.org/I4210156404']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5033243530', 'display_name': 'Zhiqiang Lv', 'orcid': 'https://orcid.org/0000-0002-3071-160X'}, 'institutions': [{'id': 'https://openalex.org/I19820366', 'display_name': 'Chinese Academy of Sciences', 'ror': 'https://ror.org/034t30j35', 'country_code': 'CN', 'type': 'government', 'lineage': ['https://openalex.org/I19820366']}, {'id': 'https://openalex.org/I4210156404', 'display_name': 'Institute of Information Engineering', 'ror': 'https://ror.org/04r53se39', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I19820366', 'https://openalex.org/I4210156404']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Lv Zhiqiang', 'raw_affiliation_strings': ['Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.'], 'affiliations': [{'raw_affiliation_string': 'Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.', 'institution_ids': ['https://openalex.org/I19820366', 'https://openalex.org/I4210156404']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5085003385', 'display_name': 'Xuejie Ding', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I19820366', 'display_name': 'Chinese Academy of Sciences', 'ror': 'https://ror.org/034t30j35', 'country_code': 'CN', 'type': 'government', 'lineage': ['https://openalex.org/I19820366']}, {'id': 'https://openalex.org/I4210156404', 'display_name': 'Institute of Information Engineering', 'ror': 'https://ror.org/04r53se39', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I19820366', 'https://openalex.org/I4210156404']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Ding Xuejie', 'raw_affiliation_strings': ['Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.'], 'affiliations': [{'raw_affiliation_string': 'Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.', 'institution_ids': ['https://openalex.org/I19820366', 'https://openalex.org/I4210156404']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.331, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 3, 'citation_normalized_percentile': {'value': 0.473503, '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': '536', 'last_page': '540'}, '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/T11447', 'display_name': 'Blind Source Separation Techniques', 'score': 0.9989, 'subfield': {'id': 'https://openalex.org/subfields/1711', 'display_name': 'Signal Processing'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11739', 'display_name': 'Microwave Imaging and Scattering Analysis', 'score': 0.9983, '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/prior-information', 'display_name': 'Prior information', 'score': 0.41504934}], 'concepts': [{'id': 'https://openalex.org/C156872377', 'wikidata': 'https://www.wikidata.org/wiki/Q6786281', 'display_name': 'Matching pursuit', 'level': 3, 'score': 0.9157742}, {'id': 'https://openalex.org/C124851039', 'wikidata': 'https://www.wikidata.org/wiki/Q2665459', 'display_name': 'Compressed sensing', 'level': 2, 'score': 0.8423822}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.67774755}, {'id': 'https://openalex.org/C163716315', 'wikidata': 'https://www.wikidata.org/wiki/Q901177', 'display_name': 'Gaussian', 'level': 2, 'score': 0.57932186}, {'id': 'https://openalex.org/C165064840', 'wikidata': 'https://www.wikidata.org/wiki/Q1321061', 'display_name': 'Matching (statistics)', 'level': 2, 'score': 0.5736152}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5308182}, {'id': 'https://openalex.org/C177264268', 'wikidata': 'https://www.wikidata.org/wiki/Q1514741', 'display_name': 'Set (abstract data type)', 'level': 2, 'score': 0.46714872}, {'id': 'https://openalex.org/C51823790', 'wikidata': 'https://www.wikidata.org/wiki/Q504353', 'display_name': 'Greedy algorithm', 'level': 2, 'score': 0.454027}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.41875774}, {'id': 'https://openalex.org/C182365436', 'wikidata': 'https://www.wikidata.org/wiki/Q50701', 'display_name': 'Variable (mathematics)', 'level': 2, 'score': 0.41750643}, {'id': 'https://openalex.org/C3020402766', 'wikidata': 'https://www.wikidata.org/wiki/Q104376712', 'display_name': 'Prior information', 'level': 2, 'score': 0.41504934}, {'id': 'https://openalex.org/C126255220', 'wikidata': 'https://www.wikidata.org/wiki/Q141495', 'display_name': 'Mathematical optimization', 'level': 1, 'score': 0.37092477}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.3676141}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.3150295}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.065321594}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', '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/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', '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/itaic.2014.7065108', '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': 11, 'referenced_works': ['https://openalex.org/W2046658845', 'https://openalex.org/W2095978736', 'https://openalex.org/W2100037283', 'https://openalex.org/W2104266187', 'https://openalex.org/W2119667497', 'https://openalex.org/W2127271355', 'https://openalex.org/W2145096794', 'https://openalex.org/W2160979406', 'https://openalex.org/W2289917018', 'https://openalex.org/W2296616510', 'https://openalex.org/W4250955649'], 'related_works': ['https://openalex.org/W4385694579', 'https://openalex.org/W4319793311', 'https://openalex.org/W4300881421', 'https://openalex.org/W3015194228', 'https://openalex.org/W2465351041', 'https://openalex.org/W2381127329', 'https://openalex.org/W2340242818', 'https://openalex.org/W2241396314', 'https://openalex.org/W2103001330', 'https://openalex.org/W2098521117'], 'abstract_inverted_index': {'A': [0, 106], 'novel': [1], 'greedy': [2], 'matching': [3, 29], 'pursuit': [4, 30], 'reconstruction': [5, 141], 'algorithm': [6, 60, 119], 'for': [7, 165], 'compressed': [8], 'sensing': [9], '(CS)': [10], 'was': [11], 'proposed': [12], 'in': [13, 81, 94], 'this': [14, 75], 'paper,': [15], 'called': [16], 'Sparsity': [17, 52], 'and': [18, 49, 72, 88, 101, 120, 123, 139], 'Step-size': [19], 'Adaptive': [20, 53], 'Regularized': [21], 'Matching': [22, 34, 54], 'Pursuit': [23, 35, 55], '(SSARMP).': [24], 'Compared': [25], 'with': [26, 51], 'other': [27], 'traditional': [28], 'algorithms,': [31], 'e.g.': [32], 'Orthogonal': [33], '(OMP),': [36], 'SSARMP': [37, 133, 151], 'can': [38, 61, 111, 126, 134], 'recover': [39], 'the': [40, 47, 58, 68, 79, 82, 89, 98, 113, 118, 121, 128, 144, 162], 'sparse': [41], 'signal': [42], 'without': [43, 158], 'prior': [44, 159], 'information': [45, 160], 'of': [46, 97, 115, 117, 161], 'sparsity,': [48, 163], 'compared': [50], '(SAMP)': [56], 'algorithm,': [57], 'presented': [59], 'get': [62], 'a': [63], 'compressibility': [64, 70], 'estimation': [65, 76, 110], 'by': [66], 'estimating': [67], "signal's": [69], 'firstly': [71], 'then': [73], 'set': [74, 100], 'value': [77], 'as': [78], 'finalist': [80, 103], 'first': [83], 'stage.': [84], 'The': [85], 'regularized': [86, 122], 'idea': [87], 'variable': [90, 124], 'step-size': [91, 125], 'were': [92], 'added': [93], 'selecting': [95], 'elements': [96], 'candidate': [99], 'changing': [102], 'stage': [104], 'respectively.': [105], 'reliable': [107], 'numerical': [108], 'sparsity': [109], 'reduce': [112], 'number': [114], 'iterations': [116], 'improve': [127], 'recovery': [129], 'accuracy': [130, 142], 'obviously.': [131], 'So,': [132], 'finally': [135], 'reach': [136], 'better': [137, 140], 'complexity': [138], 'at': [143], 'same': [145], 'time.': [146], 'Simulation': [147], 'results': [148], 'show': [149], 'that': [150], 'outperforms': [152], 'almost': [153], 'all': [154], 'existing': [155], 'iterative': [156], 'algorithms': [157], 'especially': [164], 'compressible': [166], 'Gaussian': [167], 'signal.': [168]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2034033637', 'counts_by_year': [{'year': 2018, 'cited_by_count': 2}, {'year': 2017, 'cited_by_count': 1}], 'updated_date': '2024-12-24T15:15:05.302609', 'created_date': '2016-06-24'}