Publication Information

{'id': 'https://openalex.org/W2601968125', 'doi': 'https://doi.org/10.1109/siprocess.2016.7888290', 'title': 'A self-adaptive proximal point algorithm for signal reconstruction in compressive sensing', 'display_name': 'A self-adaptive proximal point algorithm for signal reconstruction in compressive sensing', 'publication_year': 2016, 'publication_date': '2016-08-01', 'ids': {'openalex': 'https://openalex.org/W2601968125', 'doi': 'https://doi.org/10.1109/siprocess.2016.7888290', 'mag': '2601968125'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/siprocess.2016.7888290', '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/A5103174985', 'display_name': 'Kaizhan Huai', 'orcid': 'https://orcid.org/0000-0003-0998-7641'}, 'institutions': [{'id': 'https://openalex.org/I4210163363', 'display_name': 'PLA Army Engineering University', 'ror': 'https://ror.org/05mgp8x93', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I4210163363']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Kaizhan Huai', 'raw_affiliation_strings': ['Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, China'], 'affiliations': [{'raw_affiliation_string': 'Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, China', 'institution_ids': ['https://openalex.org/I4210163363']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5026667110', 'display_name': 'Yejun Li', 'orcid': 'https://orcid.org/0000-0001-9090-7770'}, 'institutions': [], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Yejun Li', 'raw_affiliation_strings': ["Xi'an Communications Institute, Xi'an, China"], 'affiliations': [{'raw_affiliation_string': "Xi'an Communications Institute, Xi'an, China", 'institution_ids': []}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5018544981', 'display_name': 'Mingfang Ni', 'orcid': 'https://orcid.org/0000-0002-6146-4963'}, 'institutions': [{'id': 'https://openalex.org/I4210163363', 'display_name': 'PLA Army Engineering University', 'ror': 'https://ror.org/05mgp8x93', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I4210163363']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Mingfang Ni', 'raw_affiliation_strings': ['Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, China'], 'affiliations': [{'raw_affiliation_string': 'Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, China', 'institution_ids': ['https://openalex.org/I4210163363']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5051450376', 'display_name': 'Zhanke Yu', 'orcid': 'https://orcid.org/0000-0002-1587-5294'}, 'institutions': [{'id': 'https://openalex.org/I4210163363', 'display_name': 'PLA Army Engineering University', 'ror': 'https://ror.org/05mgp8x93', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I4210163363']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Zhanke Yu', 'raw_affiliation_strings': ['Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, China'], 'affiliations': [{'raw_affiliation_string': 'Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, China', 'institution_ids': ['https://openalex.org/I4210163363']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5108016571', 'display_name': 'Xiaoguo Wang', 'orcid': 'https://orcid.org/0009-0006-0528-5684'}, 'institutions': [{'id': 'https://openalex.org/I4210163363', 'display_name': 'PLA Army Engineering University', 'ror': 'https://ror.org/05mgp8x93', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I4210163363']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Xiaoguo Wang', 'raw_affiliation_strings': ['Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, China'], 'affiliations': [{'raw_affiliation_string': 'Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, China', 'institution_ids': ['https://openalex.org/I4210163363']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.327, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 2, 'citation_normalized_percentile': {'value': 0.529223, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 73, 'max': 77}, 'biblio': {'volume': '4', 'issue': None, 'first_page': '389', 'last_page': '393'}, '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/T11739', 'display_name': 'Microwave Imaging and Scattering Analysis', 'score': 0.9999, '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/T10326', 'display_name': 'Indoor and Outdoor Localization Technologies', 'score': 0.9974, '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'}}], 'keywords': [{'id': 'https://openalex.org/keywords/signal-reconstruction', 'display_name': 'Signal reconstruction', 'score': 0.7341583}, {'id': 'https://openalex.org/keywords/signal', 'display_name': 'SIGNAL (programming language)', 'score': 0.7179854}, {'id': 'https://openalex.org/keywords/signal-recovery', 'display_name': 'Signal Recovery', 'score': 0.45145664}, {'id': 'https://openalex.org/keywords/reconstruction-algorithm', 'display_name': 'Reconstruction algorithm', 'score': 0.44187692}], 'concepts': [{'id': 'https://openalex.org/C124851039', 'wikidata': 'https://www.wikidata.org/wiki/Q2665459', 'display_name': 'Compressed sensing', 'level': 2, 'score': 0.9601431}, {'id': 'https://openalex.org/C156872377', 'wikidata': 'https://www.wikidata.org/wiki/Q6786281', 'display_name': 'Matching pursuit', 'level': 3, 'score': 0.8151315}, {'id': 'https://openalex.org/C70958404', 'wikidata': 'https://www.wikidata.org/wiki/Q7512728', 'display_name': 'Signal reconstruction', 'level': 4, 'score': 0.7341583}, {'id': 'https://openalex.org/C2779843651', 'wikidata': 'https://www.wikidata.org/wiki/Q7390335', 'display_name': 'SIGNAL (programming language)', 'level': 2, 'score': 0.7179854}, {'id': 'https://openalex.org/C28719098', 'wikidata': 'https://www.wikidata.org/wiki/Q44946', 'display_name': 'Point (geometry)', 'level': 2, 'score': 0.5797485}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.57749814}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5762122}, {'id': 'https://openalex.org/C2989281035', 'wikidata': 'https://www.wikidata.org/wiki/Q120811', 'display_name': 'Signal recovery', 'level': 3, 'score': 0.45145664}, {'id': 'https://openalex.org/C2779898584', 'wikidata': 'https://www.wikidata.org/wiki/Q7820109', 'display_name': 'Reconstruction algorithm', 'level': 3, 'score': 0.44187692}, {'id': 'https://openalex.org/C140779682', 'wikidata': 'https://www.wikidata.org/wiki/Q210868', 'display_name': 'Sampling (signal processing)', 'level': 3, 'score': 0.43069935}, {'id': 'https://openalex.org/C141379421', 'wikidata': 'https://www.wikidata.org/wiki/Q6094427', 'display_name': 'Iterative reconstruction', 'level': 2, 'score': 0.40794733}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.3400564}, {'id': 'https://openalex.org/C104267543', 'wikidata': 'https://www.wikidata.org/wiki/Q208163', 'display_name': 'Signal processing', 'level': 3, 'score': 0.32207316}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.23686343}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.23378769}, {'id': 'https://openalex.org/C76155785', 'wikidata': 'https://www.wikidata.org/wiki/Q418', 'display_name': 'Telecommunications', 'level': 1, 'score': 0.08254039}, {'id': 'https://openalex.org/C554190296', 'wikidata': 'https://www.wikidata.org/wiki/Q47528', 'display_name': 'Radar', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.0}, {'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/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/siprocess.2016.7888290', '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': 14, 'referenced_works': ['https://openalex.org/W1484715564', 'https://openalex.org/W1993665416', 'https://openalex.org/W1996287810', 'https://openalex.org/W2015418199', 'https://openalex.org/W2065030431', 'https://openalex.org/W2083042020', 'https://openalex.org/W2091929055', 'https://openalex.org/W2119667497', 'https://openalex.org/W2129131372', 'https://openalex.org/W2129638195', 'https://openalex.org/W2160979406', 'https://openalex.org/W2164452299', 'https://openalex.org/W2949483514', 'https://openalex.org/W4250955649'], 'related_works': ['https://openalex.org/W4200575023', 'https://openalex.org/W2946877649', 'https://openalex.org/W2465351041', 'https://openalex.org/W2388133936', 'https://openalex.org/W2382972663', 'https://openalex.org/W2378166785', 'https://openalex.org/W2340242818', 'https://openalex.org/W2308961925', 'https://openalex.org/W2103001330', 'https://openalex.org/W1555738523'], 'abstract_inverted_index': {'Compressive': [0], 'sensing': [1, 9], '(CS)': [2], 'is': [3, 21, 73], 'a': [4, 15, 33, 38, 54], 'new': [5], 'framework': [6], 'for': [7], 'simulations': [8], 'and': [10], 'compressive.': [11], 'How': [12], 'to': [13], 'reconstruct': [14], 'sparse': [16, 34, 49], 'signal': [17, 50], 'from': [18], 'limited': [19], 'measurements': [20], 'the': [22, 29, 48, 65, 70, 78], 'key': [23], 'problem': [24, 31, 56], 'in': [25], 'CS.': [26], 'For': [27], 'solving': [28, 53], 'reconstruction': [30, 51], 'of': [32], 'signal,': [35], 'we': [36], 'proposed': [37, 71], 'self-adaptive': [39], 'proximal': [40], 'point': [41], 'algorithm': [42, 45], '(PPA).': [43], 'This': [44], 'can': [46], 'handle': [47], 'by': [52], 'substituted': [55], '—': [57], 'ℓ': [58], '<inf': [59], 'xmlns:mml="http://www.w3.org/1998/Math/MathML"': [60], 'xmlns:xlink="http://www.w3.org/1999/xlink">1</inf>': [61], 'problem.': [62], 'At': [63], 'last,': [64], 'numerical': [66], 'results': [67], 'shows': [68], 'that': [69], 'method': [72], 'more': [74], 'effective': [75], 'compared': [76], 'with': [77], 'compressive': [79], 'sampling': [80], 'matching': [81], 'pursuit': [82], '(CoSaMP).': [83]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2601968125', 'counts_by_year': [{'year': 2020, 'cited_by_count': 1}, {'year': 2019, 'cited_by_count': 1}], 'updated_date': '2024-12-07T21:34:00.986357', 'created_date': '2017-04-07'}