Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W1964346786', 'doi': 'https://doi.org/10.1186/1687-6180-2012-34', 'title': 'Robust reconstruction algorithm for compressed sensing in Gaussian noise environment using orthogonal matching pursuit with partially known support and random subsampling', 'display_name': 'Robust reconstruction algorithm for compressed sensing in Gaussian noise environment using orthogonal matching pursuit with partially known support and random subsampling', 'publication_year': 2012, 'publication_date': '2012-02-15', 'ids': {'openalex': 'https://openalex.org/W1964346786', 'doi': 'https://doi.org/10.1186/1687-6180-2012-34', 'mag': '1964346786'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1186/1687-6180-2012-34', 'pdf_url': 'https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2012-34', 'source': {'id': 'https://openalex.org/S35920007', 'display_name': 'EURASIP Journal on Advances in Signal Processing', 'issn_l': '1687-6172', 'issn': ['1687-6172', '1687-6180'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': 'cc-by', 'license_id': 'https://openalex.org/licenses/cc-by', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'gold', 'oa_url': 'https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2012-34', 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5081039616', 'display_name': 'Parichat Sermwuthisarn', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I158708052', 'display_name': 'Chulalongkorn University', 'ror': 'https://ror.org/028wp3y58', 'country_code': 'TH', 'type': 'education', 'lineage': ['https://openalex.org/I158708052']}], 'countries': ['TH'], 'is_corresponding': False, 'raw_author_name': 'Parichat Sermwuthisarn', 'raw_affiliation_strings': ['[Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand]'], 'affiliations': [{'raw_affiliation_string': '[Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand]', 'institution_ids': ['https://openalex.org/I158708052']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5048267182', 'display_name': 'Supatana Auethavekiat', 'orcid': 'https://orcid.org/0000-0002-6642-766X'}, 'institutions': [{'id': 'https://openalex.org/I158708052', 'display_name': 'Chulalongkorn University', 'ror': 'https://ror.org/028wp3y58', 'country_code': 'TH', 'type': 'education', 'lineage': ['https://openalex.org/I158708052']}], 'countries': ['TH'], 'is_corresponding': False, 'raw_author_name': 'Supatana Auethavekiat', 'raw_affiliation_strings': ['[Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand]'], 'affiliations': [{'raw_affiliation_string': '[Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand]', 'institution_ids': ['https://openalex.org/I158708052']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5027652741', 'display_name': 'Duangrat Gansawat', 'orcid': 'https://orcid.org/0000-0001-5574-5171'}, 'institutions': [{'id': 'https://openalex.org/I14316845', 'display_name': 'National Electronics and Computer Technology Center', 'ror': 'https://ror.org/04z82ry91', 'country_code': 'TH', 'type': 'government', 'lineage': ['https://openalex.org/I1332092204', 'https://openalex.org/I14316845']}], 'countries': ['TH'], 'is_corresponding': False, 'raw_author_name': 'Duangrat Gansawat', 'raw_affiliation_strings': ['National Electronics and Computer Technology Center, Pathumthani, Thailand'], 'affiliations': [{'raw_affiliation_string': 'National Electronics and Computer Technology Center, Pathumthani, Thailand', 'institution_ids': ['https://openalex.org/I14316845']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5034032315', 'display_name': 'Vorapoj Patanavijit', 'orcid': 'https://orcid.org/0000-0002-9122-1276'}, 'institutions': [{'id': 'https://openalex.org/I115748381', 'display_name': 'Assumption University', 'ror': 'https://ror.org/03zmqc707', 'country_code': 'TH', 'type': 'education', 'lineage': ['https://openalex.org/I115748381']}], 'countries': ['TH'], 'is_corresponding': False, 'raw_author_name': 'Vorapoj Patanavijit', 'raw_affiliation_strings': ['Department of Electrical Engineering, Assumption University, Bangkok, Thailand'], 'affiliations': [{'raw_affiliation_string': 'Department of Electrical Engineering, Assumption University, Bangkok, Thailand', 'institution_ids': ['https://openalex.org/I115748381']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 3, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': {'value': 1140, 'currency': 'GBP', 'value_usd': 1398, 'provenance': 'doaj'}, 'apc_paid': {'value': 1140, 'currency': 'GBP', 'value_usd': 1398, 'provenance': 'doaj'}, 'fwci': 2.426, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 9, 'citation_normalized_percentile': {'value': 0.674484, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 84, 'max': 85}, 'biblio': {'volume': '2012', 'issue': '1', 'first_page': None, 'last_page': None}, '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/T12015', 'display_name': 'Photoacoustic and Ultrasonic Imaging', '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/T10688', 'display_name': 'Image and Signal Denoising Methods', 'score': 0.9995, '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-reconstruction', 'display_name': 'Signal reconstruction', 'score': 0.59733427}, {'id': 'https://openalex.org/keywords/signal', 'display_name': 'SIGNAL (programming language)', 'score': 0.55284315}, {'id': 'https://openalex.org/keywords/basis-pursuit', 'display_name': 'Basis pursuit', 'score': 0.5037007}, {'id': 'https://openalex.org/keywords/gaussian-noise', 'display_name': 'Gaussian Noise', 'score': 0.46652967}], 'concepts': [{'id': 'https://openalex.org/C156872377', 'wikidata': 'https://www.wikidata.org/wiki/Q6786281', 'display_name': 'Matching pursuit', 'level': 3, 'score': 0.9425039}, {'id': 'https://openalex.org/C124851039', 'wikidata': 'https://www.wikidata.org/wiki/Q2665459', 'display_name': 'Compressed sensing', 'level': 2, 'score': 0.9033042}, {'id': 'https://openalex.org/C191178318', 'wikidata': 'https://www.wikidata.org/wiki/Q2256906', 'display_name': 'Thresholding', 'level': 3, 'score': 0.6728252}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.60374385}, {'id': 'https://openalex.org/C70958404', 'wikidata': 'https://www.wikidata.org/wiki/Q7512728', 'display_name': 'Signal reconstruction', 'level': 4, 'score': 0.59733427}, {'id': 'https://openalex.org/C163294075', 'wikidata': 'https://www.wikidata.org/wiki/Q581861', 'display_name': 'Noise reduction', 'level': 2, 'score': 0.5784363}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.577008}, {'id': 'https://openalex.org/C99498987', 'wikidata': 'https://www.wikidata.org/wiki/Q2210247', 'display_name': 'Noise (video)', 'level': 3, 'score': 0.57032925}, {'id': 'https://openalex.org/C2779843651', 'wikidata': 'https://www.wikidata.org/wiki/Q7390335', 'display_name': 'SIGNAL (programming language)', 'level': 2, 'score': 0.55284315}, {'id': 'https://openalex.org/C163716315', 'wikidata': 'https://www.wikidata.org/wiki/Q901177', 'display_name': 'Gaussian', 'level': 2, 'score': 0.5304607}, {'id': 'https://openalex.org/C99217422', 'wikidata': 'https://www.wikidata.org/wiki/Q4867576', 'display_name': 'Basis pursuit', 'level': 4, 'score': 0.5037007}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.49672848}, {'id': 'https://openalex.org/C4199805', 'wikidata': 'https://www.wikidata.org/wiki/Q2725903', 'display_name': 'Gaussian noise', 'level': 2, 'score': 0.46652967}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.46368805}, {'id': 'https://openalex.org/C104267543', 'wikidata': 'https://www.wikidata.org/wiki/Q208163', 'display_name': 'Signal processing', 'level': 3, 'score': 0.32430375}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.3204208}, {'id': 'https://openalex.org/C115961682', 'wikidata': 'https://www.wikidata.org/wiki/Q860623', 'display_name': 'Image (mathematics)', 'level': 2, 'score': 0.14837432}, {'id': 'https://openalex.org/C76155785', 'wikidata': 'https://www.wikidata.org/wiki/Q418', 'display_name': 'Telecommunications', 'level': 1, 'score': 0.07692602}, {'id': 'https://openalex.org/C554190296', 'wikidata': 'https://www.wikidata.org/wiki/Q47528', 'display_name': 'Radar', 'level': 2, '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': True, 'landing_page_url': 'https://doi.org/10.1186/1687-6180-2012-34', 'pdf_url': 'https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2012-34', 'source': {'id': 'https://openalex.org/S35920007', 'display_name': 'EURASIP Journal on Advances in Signal Processing', 'issn_l': '1687-6172', 'issn': ['1687-6172', '1687-6180'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': 'cc-by', 'license_id': 'https://openalex.org/licenses/cc-by', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1186/1687-6180-2012-34', 'pdf_url': 'https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2012-34', 'source': {'id': 'https://openalex.org/S35920007', 'display_name': 'EURASIP Journal on Advances in Signal Processing', 'issn_l': '1687-6172', 'issn': ['1687-6172', '1687-6180'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': 'cc-by', 'license_id': 'https://openalex.org/licenses/cc-by', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'sustainable_development_goals': [{'score': 0.7, 'id': 'https://metadata.un.org/sdg/11', 'display_name': 'Sustainable cities and communities'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 41, 'referenced_works': ['https://openalex.org/W1494195692', 'https://openalex.org/W1527465884', 'https://openalex.org/W1546108826', 'https://openalex.org/W1652206149', 'https://openalex.org/W1967110495', 'https://openalex.org/W1975260365', 'https://openalex.org/W1983115982', 'https://openalex.org/W2000650626', 'https://openalex.org/W2034260606', 'https://openalex.org/W2049502219', 'https://openalex.org/W2061531848', 'https://openalex.org/W2078204800', 'https://openalex.org/W2086623020', 'https://openalex.org/W2097323375', 'https://openalex.org/W2099100030', 'https://openalex.org/W2101509311', 'https://openalex.org/W2109357213', 'https://openalex.org/W2113157816', 'https://openalex.org/W2119667497', 'https://openalex.org/W2123023890', 'https://openalex.org/W2123693211', 'https://openalex.org/W2127271355', 'https://openalex.org/W2129812098', 'https://openalex.org/W2130105465', 'https://openalex.org/W2134860704', 'https://openalex.org/W2141433180', 'https://openalex.org/W2146842127', 'https://openalex.org/W2147656689', 'https://openalex.org/W2155792383', 'https://openalex.org/W2163973643', 'https://openalex.org/W2164196622', 'https://openalex.org/W2164452299', 'https://openalex.org/W2166000574', 'https://openalex.org/W2169904627', 'https://openalex.org/W2170507371', 'https://openalex.org/W2171783193', 'https://openalex.org/W2289917018', 'https://openalex.org/W3105340263', 'https://openalex.org/W4250955649', 'https://openalex.org/W59771946', 'https://openalex.org/W80534854'], 'related_works': ['https://openalex.org/W2946877649', 'https://openalex.org/W2465351041', 'https://openalex.org/W2436826437', 'https://openalex.org/W2388133936', 'https://openalex.org/W2382972663', 'https://openalex.org/W2378166785', 'https://openalex.org/W2340242818', 'https://openalex.org/W2241396314', 'https://openalex.org/W2169904627', 'https://openalex.org/W2103001330'], 'abstract_inverted_index': {'Abstract': [0], 'The': [1, 15, 40, 77, 86, 100, 126], 'compressed': [2, 5, 31, 36, 41, 54, 119], 'signal': [3, 32, 37, 42, 68], 'in': [4, 69, 89, 152], 'sensing': [6, 120], '(CS)': [7], 'may': [8], 'be': [9, 21], 'corrupted': [10], 'by': [11, 23], 'noise': [12, 19], 'during': [13], 'transmission.': [14], 'effect': [16], 'of': [17, 52, 97, 102, 129], 'Gaussian': [18], 'can': [20], 'reduced': [22], 'averaging,': [24], 'hence': [25], 'a': [26], 'robust': [27], 'reconstruction': [28, 96], 'method': [29, 88, 105, 138], 'using': [30, 121], 'ensemble': [33, 51, 71], 'from': [34], 'one': [35], 'is': [38, 43, 64, 92], 'proposed.': [39], 'subsampled': [44], 'for': [45, 84, 94], 'L': [46, 53, 74, 78], 'times': [47], 'to': [48, 66, 72], 'create': [49], 'the': [50, 70], 'signals.': [55], 'Orthogonal': [56], 'matching': [57, 124], 'pursuit': [58, 110], 'with': [59, 108], 'partially': [60], 'known': [61], 'support': [62], '(OMP-PKS)': [63], 'applied': [65], 'each': [67], 'reconstruct': [73], 'noisy': [75, 79], 'outputs.': [76], 'outputs': [80], 'are': [81], 'then': [82], 'averaged': [83], 'denoising.': [85], 'proposed': [87, 104, 137], 'this': [90], 'article': [91], 'designed': [93], 'CS': [95], 'image': [98], 'signal.': [99], 'performance': [101], 'our': [103, 136], 'was': [106], 'compared': [107], 'basis': [109], 'denoising,': [111], 'Lorentzian-based': [112], 'iterative': [113], 'hard': [114], 'thresholding,': [115], 'OMP-PKS': [116], 'and': [117, 148], 'distributed': [118], 'simultaneously': [122], 'orthogonal': [123], 'pursuit.': [125], 'experimental': [127], 'results': [128], '42': [130], 'standard': [131], 'test': [132], 'images': [133], 'showed': [134], 'that': [135], 'yielded': [139], 'higher': [140], 'peak': [141], 'signal-to-noise': [142], 'ratio': [143], 'at': [144], 'low': [145], 'measurement': [146], 'rate': [147], 'better': [149], 'visual': [150], 'quality': [151], 'all': [153], 'cases.': [154]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W1964346786', 'counts_by_year': [{'year': 2017, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 2}, {'year': 2014, 'cited_by_count': 4}, {'year': 2012, 'cited_by_count': 2}], 'updated_date': '2024-12-08T22:12:05.846262', 'created_date': '2016-06-24'}