{"id":"https://openalex.org/W2947569882","doi":"https://doi.org/10.1109/spcom.2018.8724435","title":"Sinusoid Signal Estimation using Generalized Block Orthogonal Matching Pursuit Algorithm","display_name":"Sinusoid Signal Estimation using Generalized Block Orthogonal Matching Pursuit Algorithm","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2947569882","doi":"https://doi.org/10.1109/spcom.2018.8724435","mag":"2947569882"},"language":"en","primary_location":{"id":"doi:10.1109/spcom.2018.8724435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026617141","display_name":"Anjali Manoj","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"A Manoj","raw_affiliation_strings":["Dept. of Electrical Engineering, Indian Institute of Technology, Madras, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Indian Institute of Technology, Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010562794","display_name":"Arun Pachai Kannu","orcid":"https://orcid.org/0000-0003-0042-2425"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arun Pachai Kannu","raw_affiliation_strings":["Dept. of Electrical Engineering, Indian Institute of Technology, Madras, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Indian Institute of Technology, Madras, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026617141"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.608,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6714041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"58","issue":null,"first_page":"60","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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":"Advanced Adaptive Filtering Techniques","score":0.9966999888420105,"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/matching-pursuit","display_name":"Matching pursuit","score":0.9240134954452515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7142579555511475},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6589322686195374},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5960793495178223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5546278357505798},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5235331058502197},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.4937489926815033},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.42280811071395874},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.414936363697052},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3495570421218872},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32574382424354553},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12952247262001038}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.9240134954452515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7142579555511475},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6589322686195374},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5960793495178223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5546278357505798},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5235331058502197},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.4937489926815033},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.42280811071395874},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.414936363697052},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3495570421218872},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32574382424354553},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12952247262001038},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom.2018.8724435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1518306493","https://openalex.org/W1979792591","https://openalex.org/W1981157266","https://openalex.org/W2015418199","https://openalex.org/W2018324106","https://openalex.org/W2033419225","https://openalex.org/W2071282831","https://openalex.org/W2111730426","https://openalex.org/W2114129195","https://openalex.org/W2119667497","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2133285942","https://openalex.org/W2135780853","https://openalex.org/W2138019504","https://openalex.org/W2139961842","https://openalex.org/W2140856955","https://openalex.org/W2147276092","https://openalex.org/W2151693816","https://openalex.org/W2162654459","https://openalex.org/W2272279111","https://openalex.org/W2305859205","https://openalex.org/W2325994334","https://openalex.org/W2476418380","https://openalex.org/W2963740897","https://openalex.org/W3104389152"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2169904627","https://openalex.org/W2382972663","https://openalex.org/W4385694579","https://openalex.org/W2388133936","https://openalex.org/W2436826437","https://openalex.org/W2340242818","https://openalex.org/W2465351041","https://openalex.org/W2103001330","https://openalex.org/W2946877649"],"abstract_inverted_index":{"We":[0,24,48,75,103],"consider":[1],"general":[2,37],"block":[3,18,28,38],"sparse":[4,39],"vectors,":[5,40],"which":[6],"consist":[7],"of":[8,44,68,79],"non-zero":[9],"blocks":[10],"placed":[11],"at":[12],"arbitrary":[13],"non-overlapping":[14],"locations":[15],"and":[16,85,98,112,115],"the":[17,36,52,61,66,72,77,80],"partitioning":[19],"information":[20],"is":[21,116],"unavailable":[22],"apriori.":[23],"propose":[25],"a":[26,42],"generalized":[27],"orthogonal":[29],"matching":[30],"pursuit":[31],"(G-BOMP)":[32],"algorithm":[33,82,108],"to":[34,118],"recover":[35],"from":[41],"set":[43],"noisy":[45],"compressive":[46,100],"measurements.":[47],"then":[49],"establish":[50],"that":[51,105],"sinusoidal":[53],"signal":[54],"estimation":[55],"problem":[56],"can":[57],"be":[58],"solved":[59],"using":[60],"G-BOMP":[62,81,107],"algorithm,":[63],"by":[64],"exploiting":[65],"structure":[67],"spectral":[69,99],"leakage":[70],"in":[71],"Fourier":[73],"domain.":[74],"study":[76],"performance":[78],"via":[83],"simulations":[84],"compare":[86],"it":[87],"with":[88,120],"other":[89],"algorithms":[90],"such":[91],"as":[92],"OMP,":[93,110],"BOMP,":[94],"newtonized":[95],"OMP":[96],"(N-OMP)":[97],"sensing":[101],"(SCS).":[102],"observe":[104],"our":[106],"outperforms":[109],"BOMP":[111],"SCS":[113],"methods":[114],"comparable":[117],"N-OMP":[119],"much":[121],"lower":[122],"computational":[123],"complexity.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}