{"id":"https://openalex.org/W4289830212","doi":"https://doi.org/10.1109/spcom55316.2022.9840848","title":"DOA Estimation using Multiclass-SVM in Spherical Harmonics Domain","display_name":"DOA Estimation using Multiclass-SVM in Spherical Harmonics Domain","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4289830212","doi":"https://doi.org/10.1109/spcom55316.2022.9840848"},"language":"en","primary_location":{"id":"doi:10.1109/spcom55316.2022.9840848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom55316.2022.9840848","pdf_url":null,"source":{"id":"https://openalex.org/S4363608579","display_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013044308","display_name":"Priyadarshini Dwivedi","orcid":"https://orcid.org/0009-0009-6110-8086"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyadarshini Dwivedi","raw_affiliation_strings":["Indian Institute of Technology,Kanpur,India,208016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Kanpur,India,208016","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075895321","display_name":"Gyanajyoti Routray","orcid":"https://orcid.org/0000-0002-7310-9539"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gyanajyoti Routray","raw_affiliation_strings":["Indian Institute of Technology,Kanpur,India,208016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Kanpur,India,208016","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085503354","display_name":"Rajesh M. Hegde","orcid":"https://orcid.org/0000-0002-6142-7724"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh M. Hegde","raw_affiliation_strings":["Indian Institute of Technology,Kanpur,India,208016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Kanpur,India,208016","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11309","display_name":"Music and Audio Processing","score":0.9751999974250793,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6851532459259033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.638027548789978},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5577933192253113},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5360475182533264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5162758231163025},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49194690585136414},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49063840508461},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47188058495521545},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4519505202770233},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"Spherical harmonics","score":0.42774567008018494},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.42612218856811523},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4148988723754883},{"id":"https://openalex.org/keywords/harmonics","display_name":"Harmonics","score":0.4141961634159088},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4138745665550232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4049265384674072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22637802362442017},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10955402255058289},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0863359272480011},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.08612805604934692},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07686099410057068},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07039132714271545}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6851532459259033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638027548789978},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5577933192253113},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5360475182533264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5162758231163025},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49194690585136414},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49063840508461},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47188058495521545},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4519505202770233},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.42774567008018494},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.42612218856811523},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4148988723754883},{"id":"https://openalex.org/C188414643","wikidata":"https://www.wikidata.org/wiki/Q3001183","display_name":"Harmonics","level":3,"score":0.4141961634159088},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4138745665550232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4049265384674072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22637802362442017},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10955402255058289},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0863359272480011},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.08612805604934692},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07686099410057068},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07039132714271545},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom55316.2022.9840848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom55316.2022.9840848","pdf_url":null,"source":{"id":"https://openalex.org/S4363608579","display_name":"2022 IEEE International Conference on Signal Processing and Communications (SPCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 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":24,"referenced_works":["https://openalex.org/W1603075283","https://openalex.org/W1606167728","https://openalex.org/W1966081805","https://openalex.org/W1969110495","https://openalex.org/W1997498213","https://openalex.org/W2046317813","https://openalex.org/W2081724471","https://openalex.org/W2113638573","https://openalex.org/W2129501075","https://openalex.org/W2137867936","https://openalex.org/W2138908886","https://openalex.org/W2158995216","https://openalex.org/W2163994287","https://openalex.org/W2494085323","https://openalex.org/W2524249505","https://openalex.org/W2672714283","https://openalex.org/W2903697385","https://openalex.org/W2964200500","https://openalex.org/W2964342924","https://openalex.org/W3007990324","https://openalex.org/W3015081319","https://openalex.org/W6636536578","https://openalex.org/W6679947693","https://openalex.org/W6755264607"],"related_works":["https://openalex.org/W2020675340","https://openalex.org/W2885304703","https://openalex.org/W2366257795","https://openalex.org/W2155102824","https://openalex.org/W2383219934","https://openalex.org/W2809995591","https://openalex.org/W1972714035","https://openalex.org/W2371202583","https://openalex.org/W1482418973","https://openalex.org/W2349776409"],"abstract_inverted_index":{"Direction":[0],"of":[1,118,145,158],"arrival":[2],"(DOA)":[3],"estimation":[4,24],"is":[5,37,74,90,97,123],"still":[6],"a":[7,19,91],"challenging":[8],"and":[9,45,54,80,93,100,138],"fundamental":[10],"problem":[11],"in":[12,143,162],"acoustic":[13],"signal":[14,36],"processing.":[15],"This":[16],"paper":[17],"proposes":[18],"new":[20],"method":[21],"for":[22,114],"DOA":[23,85,131],"that":[25,125],"utilizes":[26],"the":[27,40,48,55,61,84,88,105,115,119,126,146,156,159],"support":[28,69],"vector":[29,70],"machine":[30,71],"(SVM)":[31],"based":[32],"classification.":[33],"The":[34,52],"source":[35],"recorded":[38],"by":[39],"spherical":[41,49,62],"microphone":[42],"array":[43],"(SMA)":[44],"decomposed":[46,65],"into":[47],"harmonics":[50,63],"domain.":[51],"phase":[53,79],"magnitude":[56,81],"features":[57,82],"are":[58,112],"calculated":[59],"from":[60],"(SH)":[64],"signals.":[66],"A":[67],"multiclass":[68],"(M-SVM)":[72],"algorithm":[73],"implemented":[75],"to":[76,83],"classify":[77],"these":[78],"classes.":[86],"Since":[87],"SVM":[89],"non-probabilistic":[92],"deterministic":[94],"model,":[95],"it":[96],"computationally":[98],"faster":[99],"highly":[101],"reduced":[102],"complexity":[103],"than":[104],"neural":[106],"network-based":[107],"learning":[108],"models.":[109],"Extensive":[110],"simulations":[111],"conducted":[113],"performance":[116],"evaluation":[117],"proposed":[120,127,160],"method.":[121],"It":[122],"observed":[124],"model":[128,161],"provides":[129,152],"robust":[130],"estimates":[132],"at":[133],"various":[134],"signal-to-noise":[135],"ratios":[136],"(SNR)":[137],"reverberation":[139],"time.":[140],"Performance":[141],"evaluated":[142],"terms":[144],"root":[147],"mean":[148],"square":[149],"error":[150],"(RMSE)":[151],"interesting":[153],"results":[154],"motivating":[155],"use":[157],"practical":[163],"applications.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}