Publication Information

{'id': 'https://openalex.org/W2135859872', 'doi': 'https://doi.org/10.1109/tsp.2009.2027773', 'title': 'Bayesian Compressive Sensing Via Belief Propagation', 'display_name': 'Bayesian Compressive Sensing Via Belief Propagation', 'publication_year': 2009, 'publication_date': '2009-07-22', 'ids': {'openalex': 'https://openalex.org/W2135859872', 'doi': 'https://doi.org/10.1109/tsp.2009.2027773', 'mag': '2135859872'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/tsp.2009.2027773', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S168680287', 'display_name': 'IEEE Transactions on Signal Processing', 'issn_l': '1053-587X', 'issn': ['1053-587X', '1941-0476'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'green', 'oa_url': 'http://arxiv.org/pdf/0812.4627', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5037316256', 'display_name': 'Dror Baron', 'orcid': 'https://orcid.org/0000-0002-6371-8496'}, 'institutions': [{'id': 'https://openalex.org/I174306211', 'display_name': 'Technion – Israel Institute of Technology', 'ror': 'https://ror.org/03qryx823', 'country_code': 'IL', 'type': 'education', 'lineage': ['https://openalex.org/I174306211']}], 'countries': ['IL'], 'is_corresponding': False, 'raw_author_name': 'Dror Baron', 'raw_affiliation_strings': ['Dept. of Electr.Eng., Technion-Israel Inst. of Technol., Haifa, Israel'], 'affiliations': [{'raw_affiliation_string': 'Dept. of Electr.Eng., Technion-Israel Inst. of Technol., Haifa, Israel', 'institution_ids': ['https://openalex.org/I174306211']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5028085008', 'display_name': 'Shriram Sarvotham', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4210137549', 'display_name': 'Halliburton (United States)', 'ror': 'https://ror.org/03s918289', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I4210137549']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Shriram Sarvotham', 'raw_affiliation_strings': ['[Halliburton Energy Services, Houston, TX, USA]'], 'affiliations': [{'raw_affiliation_string': '[Halliburton Energy Services, Houston, TX, USA]', 'institution_ids': ['https://openalex.org/I4210137549']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5072713767', 'display_name': 'Richard G. Baraniuk', 'orcid': 'https://orcid.org/0000-0002-0721-8999'}, 'institutions': [{'id': 'https://openalex.org/I74775410', 'display_name': 'Rice University', 'ror': 'https://ror.org/008zs3103', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I74775410']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Richard G. Baraniuk', 'raw_affiliation_strings': ['Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA'], 'affiliations': [{'raw_affiliation_string': 'Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA', 'institution_ids': ['https://openalex.org/I74775410']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 3, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 54.516, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 510, 'citation_normalized_percentile': {'value': 0.999924, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 99, 'max': 100}, 'biblio': {'volume': '58', 'issue': '1', 'first_page': '269', 'last_page': '280'}, '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': 0.9998, '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/T12879', 'display_name': 'Distributed Sensor Networks and Detection Algorithms', 'score': 0.9979, 'subfield': {'id': 'https://openalex.org/subfields/1705', 'display_name': 'Computer Networks and Communications'}, '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/belief-propagation', 'display_name': 'Belief Propagation', 'score': 0.6912178}, {'id': 'https://openalex.org/keywords/graphical-model', 'display_name': 'Graphical model', 'score': 0.6000565}], 'concepts': [{'id': 'https://openalex.org/C124851039', 'wikidata': 'https://www.wikidata.org/wiki/Q2665459', 'display_name': 'Compressed sensing', 'level': 2, 'score': 0.79930973}, {'id': 'https://openalex.org/C152948882', 'wikidata': 'https://www.wikidata.org/wiki/Q4060686', 'display_name': 'Belief propagation', 'level': 3, 'score': 0.6912178}, {'id': 'https://openalex.org/C155846161', 'wikidata': 'https://www.wikidata.org/wiki/Q1143367', 'display_name': 'Graphical model', 'level': 2, 'score': 0.6000565}, {'id': 'https://openalex.org/C57273362', 'wikidata': 'https://www.wikidata.org/wiki/Q576722', 'display_name': 'Decoding methods', 'level': 2, 'score': 0.5431605}, {'id': 'https://openalex.org/C160234255', 'wikidata': 'https://www.wikidata.org/wiki/Q812535', 'display_name': 'Bayesian inference', 'level': 3, 'score': 0.5152812}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.47137034}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.46724486}, {'id': 'https://openalex.org/C163716315', 'wikidata': 'https://www.wikidata.org/wiki/Q901177', 'display_name': 'Gaussian', 'level': 2, 'score': 0.42915693}, {'id': 'https://openalex.org/C51823790', 'wikidata': 'https://www.wikidata.org/wiki/Q504353', 'display_name': 'Greedy algorithm', 'level': 2, 'score': 0.41010368}, {'id': 'https://openalex.org/C107673813', 'wikidata': 'https://www.wikidata.org/wiki/Q812534', 'display_name': 'Bayesian probability', 'level': 2, 'score': 0.38661623}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.33177674}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.25534636}, {'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}], 'mesh': [], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/tsp.2009.2027773', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S168680287', 'display_name': 'IEEE Transactions on Signal Processing', 'issn_l': '1053-587X', 'issn': ['1053-587X', '1941-0476'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': True, 'landing_page_url': 'http://arxiv.org/abs/0812.4627', 'pdf_url': 'http://arxiv.org/pdf/0812.4627', 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'http://arxiv.org/abs/0812.4627', 'pdf_url': 'http://arxiv.org/pdf/0812.4627', 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 72, 'referenced_works': ['https://openalex.org/W1480376833', 'https://openalex.org/W1513861746', 'https://openalex.org/W1527917680', 'https://openalex.org/W1607198972', 'https://openalex.org/W162963782', 'https://openalex.org/W1635427980', 'https://openalex.org/W1654257729', 'https://openalex.org/W1755360231', 'https://openalex.org/W191169677', 'https://openalex.org/W1980452149', 'https://openalex.org/W1986931325', 'https://openalex.org/W1988569331', 'https://openalex.org/W2006506233', 'https://openalex.org/W2007069447', 'https://openalex.org/W2009702064', 'https://openalex.org/W2010669260', 'https://openalex.org/W2019599312', 'https://openalex.org/W2019987083', 'https://openalex.org/W2026357470', 'https://openalex.org/W2049502219', 'https://openalex.org/W2061052441', 'https://openalex.org/W2070115943', 'https://openalex.org/W2070898270', 'https://openalex.org/W2071284784', 'https://openalex.org/W2083042020', 'https://openalex.org/W2096185893', 'https://openalex.org/W2104266187', 'https://openalex.org/W2106904642', 'https://openalex.org/W2107086875', 'https://openalex.org/W2109449402', 'https://openalex.org/W2116148865', 'https://openalex.org/W2120294885', 'https://openalex.org/W2122315118', 'https://openalex.org/W2127271355', 'https://openalex.org/W2127490352', 'https://openalex.org/W2128765501', 'https://openalex.org/W2133157898', 'https://openalex.org/W2134929491', 'https://openalex.org/W2135764410', 'https://openalex.org/W2137813581', 'https://openalex.org/W2138577627', 'https://openalex.org/W2144015943', 'https://openalex.org/W2145096794', 'https://openalex.org/W2147361252', 'https://openalex.org/W2150218618', 'https://openalex.org/W2152001538', 'https://openalex.org/W2159080219', 'https://openalex.org/W2160979406', 'https://openalex.org/W2163364417', 'https://openalex.org/W2166087152', 'https://openalex.org/W2167947196', 'https://openalex.org/W2168832308', 'https://openalex.org/W2170929819', 'https://openalex.org/W2171265988', 'https://openalex.org/W2289917018', 'https://openalex.org/W2296616510', 'https://openalex.org/W2337742813', 'https://openalex.org/W2550925785', 'https://openalex.org/W2954811775', 'https://openalex.org/W2963322354', 'https://openalex.org/W2973707709', 'https://openalex.org/W3125735862', 'https://openalex.org/W3140968660', 'https://openalex.org/W3144326304', 'https://openalex.org/W3146404850', 'https://openalex.org/W4246858143', 'https://openalex.org/W4250955649', 'https://openalex.org/W4256646823', 'https://openalex.org/W4285719527', 'https://openalex.org/W4301259139', 'https://openalex.org/W4388320089', 'https://openalex.org/W568057840'], 'related_works': ['https://openalex.org/W959529772', 'https://openalex.org/W4388627352', 'https://openalex.org/W4368755698', 'https://openalex.org/W4297812452', 'https://openalex.org/W4286382505', 'https://openalex.org/W3180766726', 'https://openalex.org/W2962950510', 'https://openalex.org/W2606077302', 'https://openalex.org/W2170789951', 'https://openalex.org/W2140575283'], 'abstract_inverted_index': {'Compressive': [0], 'sensing': [1], '(CS)': [2], 'is': [3, 37, 76, 128], 'an': [4], 'emerging': [5], 'field': [6], 'based': [7, 46], 'on': [8, 47, 121], 'the': [9, 35, 66, 80, 83], 'revelation': [10], 'that': [11], 'a': [12, 19, 31, 71, 92, 122], 'small': [13], 'collection': [14], 'of': [15, 18, 34, 82], 'linear': [16, 48], 'projections': [17], 'sparse': [20, 87], 'signal': [21, 28, 36, 94, 133], 'contains': [22], 'enough': [23], 'information': [24], 'for': [25], 'stable,': [26], 'sub-Nyquist': [27], 'acquisition.': [29], 'When': [30], 'statistical': [32], 'characterization': [33], 'available,': [38], 'Bayesian': [39, 57], 'inference': [40, 58], 'can': [41], 'complement': [42], 'conventional': [43], 'CS': [44, 67], 'methods': [45], 'programming': [49], 'or': [50], 'greedy': [51], 'algorithms.': [52], 'We': [53], 'perform': [54], 'asymptotically': [55], 'optimal': [56], 'using': [59], 'belief': [60], 'propagation': [61], '(BP)': [62], 'decoding,': [63], 'which': [64], 'represents': [65], 'encoding': [68, 88], 'matrix': [69], 'as': [70], 'graphical': [72, 84], 'model.': [73], 'Fast': [74], 'computation': [75], 'obtained': [77], 'by': [78], 'reducing': [79], 'size': [81], 'model': [85], 'with': [86], 'matrices.': [89], 'To': [90], 'decode': [91], 'length-N': [93], 'containing': [95], '<i': [96], 'xmlns:mml="http://www.w3.org/1998/Math/MathML"': [97, 113], 'xmlns:xlink="http://www.w3.org/1999/xlink">K</i>': [98], 'large': [99], 'coefficients,': [100], 'our': [101], 'CS-BP': [102, 127], 'decoding': [103], 'algorithm': [104], 'uses': [105], 'O(K': [106], 'log(N))': [107], 'measurements': [108], 'and': [109], 'O(N': [110], 'log': [111], '<sup': [112], 'xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>': [114], '(N))': [115], 'computation.': [116], 'Finally,': [117], 'although': [118], 'we': [119], 'focus': [120], 'two-state': [123], 'mixture': [124], 'Gaussian': [125], 'model,': [126], 'easily': [129], 'adapted': [130], 'to': [131], 'other': [132], 'models.': [134]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2135859872', 'counts_by_year': [{'year': 2024, 'cited_by_count': 9}, {'year': 2023, 'cited_by_count': 12}, {'year': 2022, 'cited_by_count': 12}, {'year': 2021, 'cited_by_count': 16}, {'year': 2020, 'cited_by_count': 16}, {'year': 2019, 'cited_by_count': 32}, {'year': 2018, 'cited_by_count': 31}, {'year': 2017, 'cited_by_count': 30}, {'year': 2016, 'cited_by_count': 33}, {'year': 2015, 'cited_by_count': 36}, {'year': 2014, 'cited_by_count': 48}, {'year': 2013, 'cited_by_count': 47}, {'year': 2012, 'cited_by_count': 61}], 'updated_date': '2025-01-02T00:17:23.956658', 'created_date': '2016-06-24'}