Publication Information

{'id': 'https://openalex.org/W2051710799', 'doi': 'https://doi.org/10.1016/j.dsp.2005.06.002', 'title': 'The generalized eigendecomposition approach to the blind source separation problem', 'display_name': 'The generalized eigendecomposition approach to the blind source separation problem', 'publication_year': 2005, 'publication_date': '2005-07-18', 'ids': {'openalex': 'https://openalex.org/W2051710799', 'doi': 'https://doi.org/10.1016/j.dsp.2005.06.002', 'mag': '2051710799'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1016/j.dsp.2005.06.002', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S64117906', 'display_name': 'Digital Signal Processing', 'issn_l': '1051-2004', 'issn': ['1051-2004', '1095-4333'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], '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': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5075941311', 'display_name': 'Ana Maria Tomé', 'orcid': 'https://orcid.org/0000-0002-1210-0266'}, 'institutions': [{'id': 'https://openalex.org/I60858718', 'display_name': 'University of Aveiro', 'ror': 'https://ror.org/00nt41z93', 'country_code': 'PT', 'type': 'education', 'lineage': ['https://openalex.org/I60858718']}], 'countries': ['PT'], 'is_corresponding': True, 'raw_author_name': 'Ana Maria Tomé', 'raw_affiliation_strings': ['Departamento Electrónica e Telecomunicações/IEETA, Universidade Aveiro, 3810-193 Aveiro, Portugal#TAB#'], 'affiliations': [{'raw_affiliation_string': 'Departamento Electrónica e Telecomunicações/IEETA, Universidade Aveiro, 3810-193 Aveiro, Portugal#TAB#', 'institution_ids': ['https://openalex.org/I60858718']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': ['https://openalex.org/A5075941311'], 'corresponding_institution_ids': ['https://openalex.org/I60858718'], 'apc_list': {'value': 2480, 'currency': 'USD', 'value_usd': 2480, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 1.458, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 37, 'citation_normalized_percentile': {'value': 0.977643, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 91, 'max': 92}, 'biblio': {'volume': '16', 'issue': '3', 'first_page': '288', 'last_page': '302'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11447', 'display_name': 'Blind Source Separation and Independent Component Analysis', 'score': 1.0, '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'}}, 'topics': [{'id': 'https://openalex.org/T11447', 'display_name': 'Blind Source Separation and Independent Component Analysis', 'score': 1.0, '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/T10860', 'display_name': 'Speech Enhancement Techniques', 'score': 0.9915, '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/T11233', 'display_name': 'Adaptive Filtering in Non-Gaussian Signal Processing', 'score': 0.9693, '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'}}], 'keywords': [{'id': 'https://openalex.org/keywords/matrix-pencil', 'display_name': 'Matrix pencil', 'score': 0.8167613}, {'id': 'https://openalex.org/keywords/pencil', 'display_name': 'Pencil (optics)', 'score': 0.7191142}, {'id': 'https://openalex.org/keywords/blind-separation', 'display_name': 'Blind Separation', 'score': 0.548777}, {'id': 'https://openalex.org/keywords/signal-decomposition', 'display_name': 'Signal Decomposition', 'score': 0.533685}, {'id': 'https://openalex.org/keywords/source-separation', 'display_name': 'Source Separation', 'score': 0.527182}, {'id': 'https://openalex.org/keywords/independent-component-analysis', 'display_name': 'Independent Component Analysis', 'score': 0.518025}, {'id': 'https://openalex.org/keywords/sparse-representations', 'display_name': 'Sparse Representations', 'score': 0.50386}, {'id': 'https://openalex.org/keywords/linear-algebra', 'display_name': 'Linear algebra', 'score': 0.469606}, {'id': 'https://openalex.org/keywords/matrix', 'display_name': 'Matrix (chemical analysis)', 'score': 0.46563995}], 'concepts': [{'id': 'https://openalex.org/C169756996', 'wikidata': 'https://www.wikidata.org/wiki/Q194919', 'display_name': 'Eigendecomposition of a matrix', 'level': 3, 'score': 0.9129633}, {'id': 'https://openalex.org/C1576492', 'wikidata': 'https://www.wikidata.org/wiki/Q3739929', 'display_name': 'Matrix pencil', 'level': 3, 'score': 0.8167613}, {'id': 'https://openalex.org/C134949993', 'wikidata': 'https://www.wikidata.org/wiki/Q2068617', 'display_name': 'Pencil (optics)', 'level': 2, 'score': 0.7191142}, {'id': 'https://openalex.org/C42355184', 'wikidata': 'https://www.wikidata.org/wiki/Q1361088', 'display_name': 'Matrix decomposition', 'level': 3, 'score': 0.6193827}, {'id': 'https://openalex.org/C120317606', 'wikidata': 'https://www.wikidata.org/wiki/Q17105967', 'display_name': 'Blind signal separation', 'level': 3, 'score': 0.6159281}, {'id': 'https://openalex.org/C158693339', 'wikidata': 'https://www.wikidata.org/wiki/Q190524', 'display_name': 'Eigenvalues and eigenvectors', 'level': 2, 'score': 0.59318084}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.5699417}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.54638577}, {'id': 'https://openalex.org/C139352143', 'wikidata': 'https://www.wikidata.org/wiki/Q82571', 'display_name': 'Linear algebra', 'level': 2, 'score': 0.469606}, {'id': 'https://openalex.org/C106487976', 'wikidata': 'https://www.wikidata.org/wiki/Q685816', 'display_name': 'Matrix (chemical analysis)', 'level': 2, 'score': 0.46563995}, {'id': 'https://openalex.org/C28826006', 'wikidata': 'https://www.wikidata.org/wiki/Q33521', 'display_name': 'Applied mathematics', 'level': 1, 'score': 0.35421187}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.34764677}, {'id': 'https://openalex.org/C78519656', 'wikidata': 'https://www.wikidata.org/wiki/Q101333', 'display_name': 'Mechanical engineering', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C31258907', 'wikidata': 'https://www.wikidata.org/wiki/Q1301371', 'display_name': 'Computer network', 'level': 1, 'score': 0.0}, {'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/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C192562407', 'wikidata': 'https://www.wikidata.org/wiki/Q228736', 'display_name': 'Materials science', '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/C127413603', 'wikidata': 'https://www.wikidata.org/wiki/Q11023', 'display_name': 'Engineering', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C159985019', 'wikidata': 'https://www.wikidata.org/wiki/Q181790', 'display_name': 'Composite material', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1016/j.dsp.2005.06.002', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S64117906', 'display_name': 'Digital Signal Processing', 'issn_l': '1051-2004', 'issn': ['1051-2004', '1095-4333'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, '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': 19, 'referenced_works': ['https://openalex.org/W1489793438', 'https://openalex.org/W1514159701', 'https://openalex.org/W1555711139', 'https://openalex.org/W167158158', 'https://openalex.org/W1977067929', 'https://openalex.org/W2019502123', 'https://openalex.org/W2036279667', 'https://openalex.org/W2056211671', 'https://openalex.org/W2059586807', 'https://openalex.org/W2081771698', 'https://openalex.org/W2099855488', 'https://openalex.org/W2142638745', 'https://openalex.org/W2142702284', 'https://openalex.org/W2146253894', 'https://openalex.org/W2153738290', 'https://openalex.org/W2156550040', 'https://openalex.org/W2157050350', 'https://openalex.org/W2165688609', 'https://openalex.org/W4285719527'], 'related_works': ['https://openalex.org/W4387938021', 'https://openalex.org/W4383175373', 'https://openalex.org/W4289785680', 'https://openalex.org/W3138597860', 'https://openalex.org/W2390920986', 'https://openalex.org/W2330447052', 'https://openalex.org/W2116399163', 'https://openalex.org/W2047937394', 'https://openalex.org/W1992815519', 'https://openalex.org/W1987060762'], 'abstract_inverted_index': {'This': [0, 54], 'paper': [1], 'proposes': [2, 56], 'a': [3, 26, 47, 57, 97, 117], 'novel': [4], 'formulation': [5, 60], 'of': [6, 25, 28, 39, 65, 79, 132, 135, 172], 'the': [7, 23, 44, 52, 63, 72, 80, 82, 130, 133, 136, 142, 158, 163, 170, 177], 'generalized': [8, 19], 'eigendecomposition': [9, 20, 90], '(GED)': [10], 'approach': [11, 49], 'to': [12, 50, 140, 148, 175], 'blind': [13], 'source': [14], 'separation': [15, 94, 159], '(BSS)': [16], 'problems.': [17], 'The': [18, 144, 166], 'algorithms': [21, 41], 'consider': [22], 'estimation': [24], 'pair': [27], 'correlation': [29], 'matrices': [30], '(a': [31], 'matrix': [32, 67, 83, 119], 'pencil)': [33], 'using': [34, 120], 'observed': [35], 'sensor': [36], 'signals.': [37], 'Each': [38], 'various': [40], 'proposed': [42], 'in': [43, 126], 'literature': [45], 'uses': [46], 'different': [48], 'form': [51], 'pencil.': [53, 143], 'study': [55], 'linear': [58], 'algebra': [59], 'which': [61], 'exploits': [62], 'definition': [64], 'congruent': [66], 'pencils': [68], 'and': [69, 74, 112, 153], 'shows': [70], 'that': [71, 92, 157], 'solution': [73], 'its': [75], 'constraints': [76], 'are': [77], 'independent': [78], 'way': [81], 'pencil': [84], 'is': [85, 100, 129, 146, 155], 'computed.': [86], 'Also': [87], 'an': [88], 'iterative': [89], 'algorithm,': [91], 'updates': [93], 'parameters': [95], 'on': [96, 110, 162], 'sample-by-sample': [98], 'basis,': [99], 'developed.': [101], 'It': [102], 'comprises': [103], 'of:': [104], '(1)': [105], 'performing': [106], 'standard': [107], 'eigendecompositions': [108], 'based': [109], 'power': [111], 'deflation': [113], 'techniques;': [114], '(2)': [115], 'computing': [116], 'transformation': [118], 'spectral': [121], 'factorization.': [122], 'Another': [123], 'issue': [124], 'discussed': [125], 'this': [127], 'work': [128], 'influence': [131], 'length': [134], 'data': [137, 152], 'segment': [138], 'used': [139, 174], 'estimate': [141, 176], 'algorithm': [145], 'applied': [147], 'artificially': [149], 'mixed': [150], 'audio': [151], 'it': [154], 'shown': [156], 'performance': [160], 'depends': [161], 'eigenvalue': [164], 'spread.': [165], 'latter': [167], 'varies': [168], 'with': [169], 'number': [171], 'samples': [173], 'eigenvalues.': [178]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2051710799', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2023, 'cited_by_count': 1}, {'year': 2022, 'cited_by_count': 2}, {'year': 2021, 'cited_by_count': 4}, {'year': 2020, 'cited_by_count': 4}, {'year': 2019, 'cited_by_count': 3}, {'year': 2018, 'cited_by_count': 1}, {'year': 2017, 'cited_by_count': 7}, {'year': 2016, 'cited_by_count': 2}, {'year': 2015, 'cited_by_count': 2}, {'year': 2014, 'cited_by_count': 1}, {'year': 2013, 'cited_by_count': 1}, {'year': 2012, 'cited_by_count': 1}], 'updated_date': '2024-09-26T21:33:40.773908', 'created_date': '2016-06-24'}