Publication Information

{'id': 'https://openalex.org/W4200575023', 'doi': 'https://doi.org/10.1109/comcas52219.2021.9629027', 'title': 'Performance Comparison of Orthogonal Matching Pursuit and Novel Incremental Gaussian Elimination OMP Reconstruction Algorithms for Compressive Sensing', 'display_name': 'Performance Comparison of Orthogonal Matching Pursuit and Novel Incremental Gaussian Elimination OMP Reconstruction Algorithms for Compressive Sensing', 'publication_year': 2021, 'publication_date': '2021-11-01', 'ids': {'openalex': 'https://openalex.org/W4200575023', 'doi': 'https://doi.org/10.1109/comcas52219.2021.9629027'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/comcas52219.2021.9629027', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363608434', 'display_name': '2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, '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/A5000299433', 'display_name': 'V H Prasad Reddy', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4210153924', 'display_name': 'National Institute of Technology Andhra Pradesh', 'ror': 'https://ror.org/0456pcg54', 'country_code': 'IN', 'type': 'education', 'lineage': ['https://openalex.org/I4210153924']}], 'countries': ['IN'], 'is_corresponding': False, 'raw_author_name': 'V H Prasad Reddy', 'raw_affiliation_strings': ['Department of Electronics and Communication Engineering, National Institute of Technology, Andhra Pradesh, India'], 'affiliations': [{'raw_affiliation_string': 'Department of Electronics and Communication Engineering, National Institute of Technology, Andhra Pradesh, India', 'institution_ids': ['https://openalex.org/I4210153924']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5109974180', 'display_name': 'Puli Kishore Kumar', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4210153924', 'display_name': 'National Institute of Technology Andhra Pradesh', 'ror': 'https://ror.org/0456pcg54', 'country_code': 'IN', 'type': 'education', 'lineage': ['https://openalex.org/I4210153924']}], 'countries': ['IN'], 'is_corresponding': False, 'raw_author_name': 'Puli Kishore Kumar', 'raw_affiliation_strings': ['Department of Electronics and Communication Engineering, National Institute of Technology, Andhra Pradesh, India'], 'affiliations': [{'raw_affiliation_string': 'Department of Electronics and Communication Engineering, National Institute of Technology, Andhra Pradesh, India', 'institution_ids': ['https://openalex.org/I4210153924']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.14, 'has_fulltext': False, 'cited_by_count': 1, 'citation_normalized_percentile': {'value': 0.498739, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 57, 'max': 67}, 'biblio': {'volume': None, 'issue': None, 'first_page': '367', 'last_page': '372'}, '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': 0.9993, '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': 0.998, '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': 0.6599406}, {'id': 'https://openalex.org/keywords/nyquist-rate', 'display_name': 'Nyquist rate', 'score': 0.45682055}, {'id': 'https://openalex.org/keywords/nyquist–shannon-sampling-theorem', 'display_name': 'Nyquist–Shannon sampling theorem', 'score': 0.4147139}], 'concepts': [{'id': 'https://openalex.org/C156872377', 'wikidata': 'https://www.wikidata.org/wiki/Q6786281', 'display_name': 'Matching pursuit', 'level': 3, 'score': 0.9689734}, {'id': 'https://openalex.org/C124851039', 'wikidata': 'https://www.wikidata.org/wiki/Q2665459', 'display_name': 'Compressed sensing', 'level': 2, 'score': 0.902666}, {'id': 'https://openalex.org/C70958404', 'wikidata': 'https://www.wikidata.org/wiki/Q7512728', 'display_name': 'Signal reconstruction', 'level': 4, 'score': 0.6599406}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.62761694}, {'id': 'https://openalex.org/C195251586', 'wikidata': 'https://www.wikidata.org/wiki/Q1185939', 'display_name': 'Demodulation', 'level': 3, 'score': 0.6102947}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.6018639}, {'id': 'https://openalex.org/C51823790', 'wikidata': 'https://www.wikidata.org/wiki/Q504353', 'display_name': 'Greedy algorithm', 'level': 2, 'score': 0.48152524}, {'id': 'https://openalex.org/C78548338', 'wikidata': 'https://www.wikidata.org/wiki/Q2493', 'display_name': 'Data compression', 'level': 2, 'score': 0.47041324}, {'id': 'https://openalex.org/C140779682', 'wikidata': 'https://www.wikidata.org/wiki/Q210868', 'display_name': 'Sampling (signal processing)', 'level': 3, 'score': 0.46981934}, {'id': 'https://openalex.org/C152124472', 'wikidata': 'https://www.wikidata.org/wiki/Q1204361', 'display_name': 'Redundancy (engineering)', 'level': 2, 'score': 0.45902473}, {'id': 'https://openalex.org/C163716315', 'wikidata': 'https://www.wikidata.org/wiki/Q901177', 'display_name': 'Gaussian', 'level': 2, 'score': 0.45778313}, {'id': 'https://openalex.org/C65914096', 'wikidata': 'https://www.wikidata.org/wiki/Q6273772', 'display_name': 'Nyquist rate', 'level': 4, 'score': 0.45682055}, {'id': 'https://openalex.org/C288623', 'wikidata': 'https://www.wikidata.org/wiki/Q679800', 'display_name': 'Nyquist–Shannon sampling theorem', 'level': 2, 'score': 0.4147139}, {'id': 'https://openalex.org/C104267543', 'wikidata': 'https://www.wikidata.org/wiki/Q208163', 'display_name': 'Signal processing', 'level': 3, 'score': 0.35901427}, {'id': 'https://openalex.org/C84462506', 'wikidata': 'https://www.wikidata.org/wiki/Q173142', 'display_name': 'Digital signal processing', 'level': 2, 'score': 0.207349}, {'id': 'https://openalex.org/C76155785', 'wikidata': 'https://www.wikidata.org/wiki/Q418', 'display_name': 'Telecommunications', 'level': 1, 'score': 0.1749725}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.17218763}, {'id': 'https://openalex.org/C94915269', 'wikidata': 'https://www.wikidata.org/wiki/Q1834857', 'display_name': 'Detector', 'level': 2, 'score': 0.09204048}, {'id': 'https://openalex.org/C127162648', 'wikidata': 'https://www.wikidata.org/wiki/Q16858953', 'display_name': 'Channel (broadcasting)', '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/C9390403', 'wikidata': 'https://www.wikidata.org/wiki/Q3966', 'display_name': 'Computer hardware', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C111919701', 'wikidata': 'https://www.wikidata.org/wiki/Q9135', 'display_name': 'Operating system', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/comcas52219.2021.9629027', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363608434', 'display_name': '2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [{'funder': 'https://openalex.org/F4320334771', 'funder_display_name': 'Science and Engineering Research Board', 'award_id': None}], 'datasets': [], 'versions': [], 'referenced_works_count': 18, 'referenced_works': ['https://openalex.org/W2018259397', 'https://openalex.org/W2029919765', 'https://openalex.org/W2042245048', 'https://openalex.org/W2085917592', 'https://openalex.org/W2129638195', 'https://openalex.org/W2143319979', 'https://openalex.org/W2145096794', 'https://openalex.org/W2168625863', 'https://openalex.org/W2533057217', 'https://openalex.org/W2767521713', 'https://openalex.org/W2793783688', 'https://openalex.org/W2899148860', 'https://openalex.org/W2905459276', 'https://openalex.org/W2963550795', 'https://openalex.org/W2979853609', 'https://openalex.org/W2999872239', 'https://openalex.org/W4250955649', 'https://openalex.org/W4252713891'], 'related_works': ['https://openalex.org/W94248466', 'https://openalex.org/W4200575023', 'https://openalex.org/W2999872239', 'https://openalex.org/W2778878701', 'https://openalex.org/W2523302315', 'https://openalex.org/W2393783098', 'https://openalex.org/W2390272603', 'https://openalex.org/W2379468505', 'https://openalex.org/W2107703637', 'https://openalex.org/W2054047433'], 'abstract_inverted_index': {'Compressive': [0], 'Sensing': [1], '(CS)': [2], 'is': [3, 25], 'a': [4, 82, 88], 'promising': [5], 'investigation': [6], 'field': [7], 'in': [8, 77], 'the': [9, 34, 58, 71, 112], 'communication': [10, 50], 'signal': [11, 60], 'processing': [12], 'domain.': [13], 'It': [14], 'offers': [15], 'an': [16], 'advantage': [17], 'of': [18, 36, 73], 'compression': [19], 'while': [20], 'sampling;': [21], 'hence,': [22], 'data': [23, 30], 'redundancy': [24], 'reduced': [26], 'and': [27, 102, 119], 'improves': [28], 'sampled': [29], 'transmission.': [31], 'Due': [32], 'to': [33, 40, 56, 110], 'acquisition': [35], 'compressed': [37], 'samples,': [38], 'Analog': [39], 'Digital': [41], 'Conversions': [42], '(ADCs)': [43], 'performance': [44], 'also': [45], 'improved': [46], 'at': [47], 'ultra-high': [48], 'frequency': [49], 'applications.': [51], 'Several': [52], 'reconstruction': [53], 'algorithms': [54, 75, 109], 'existed': [55], 'reconstruct': [57, 111], 'original': [59, 113], 'with': [61], 'these': [62], 'sub-Nyquist': [63], 'samples.': [64], 'Orthogonal': [65], 'Matching': [66], 'Pursuit': [67], '(OMP)': [68], 'falls': [69], 'under': [70], 'category': [72], 'greedy': [74], 'considered': [76, 100], 'this': [78], 'work.': [79], 'We': [80], 'implemented': [81], 'compressively': [83], 'sensed': [84], 'sampling': [85], 'procedure': [86], 'using': [87], 'Random': [89], 'Demodulator': [90], 'Analog-to-Information': [91], 'Converter': [92], '(RD-AIC).': [93], 'And': [94], 'for': [95], 'CS': [96], 'reconstruction,': [97], 'we': [98], 'have': [99], 'OMP': [101, 108, 118, 121], 'novel': [103], 'Incremental': [104], 'Gaussian': [105], 'Elimination': [106], '(IGE)': [107], 'signal.': [114], 'Performance': [115], 'comparison': [116], 'between': [117], 'IGE': [120], 'presented.': [122]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4200575023', 'counts_by_year': [{'year': 2023, 'cited_by_count': 1}], 'updated_date': '2024-12-17T08:44:56.943780', 'created_date': '2021-12-31'}