{"id":"https://openalex.org/W2283151787","doi":"https://doi.org/10.1109/isspit.2015.7394339","title":"Using \u21131, 2 mixed-norm MUSIC based on compressive sampling for direction of arrival estimation","display_name":"Using \u21131, 2 mixed-norm MUSIC based on compressive sampling for direction of arrival estimation","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2283151787","doi":"https://doi.org/10.1109/isspit.2015.7394339","mag":"2283151787"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2015.7394339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2015.7394339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5078083495","display_name":"Mahnaz Amiri Parian","orcid":"https://orcid.org/0000-0001-7063-8585"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahnaz Amiri Parian","raw_affiliation_strings":["Electrical Engineering Department, Islamic Azad University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I110525433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027595568","display_name":"Sedigheh Ghofrani","orcid":"https://orcid.org/0000-0001-8381-316X"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sedigheh Ghofrani","raw_affiliation_strings":["Electrical Engineering Department, Islamic Azad University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I110525433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110525433"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/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/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7606256604194641},{"id":"https://openalex.org/keywords/multiple-signal-classification","display_name":"Multiple signal classification","score":0.7197165489196777},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.6801900267601013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6574447751045227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5653367042541504},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5636364221572876},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.5019211769104004},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49569737911224365},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.48855528235435486},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4766005873680115},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44799110293388367},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41443198919296265},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17274251580238342}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7606256604194641},{"id":"https://openalex.org/C206118826","wikidata":"https://www.wikidata.org/wiki/Q3841682","display_name":"Multiple signal classification","level":3,"score":0.7197165489196777},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.6801900267601013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6574447751045227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5653367042541504},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5636364221572876},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.5019211769104004},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49569737911224365},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.48855528235435486},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4766005873680115},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44799110293388367},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41443198919296265},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17274251580238342},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2015.7394339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2015.7394339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/W1479979375","https://openalex.org/W1543789979","https://openalex.org/W1774526428","https://openalex.org/W1974774078","https://openalex.org/W1991533283","https://openalex.org/W1999104815","https://openalex.org/W1999867771","https://openalex.org/W2010066971","https://openalex.org/W2041101642","https://openalex.org/W2063095100","https://openalex.org/W2074054045","https://openalex.org/W2096650463","https://openalex.org/W2103519107","https://openalex.org/W2113638573","https://openalex.org/W2122315118","https://openalex.org/W2140166042","https://openalex.org/W2145760580","https://openalex.org/W2152968972","https://openalex.org/W2160979406","https://openalex.org/W2162409952","https://openalex.org/W2171787095","https://openalex.org/W2296616510","https://openalex.org/W2325441330","https://openalex.org/W2488837679","https://openalex.org/W3098083265","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2208932071","https://openalex.org/W2169576905","https://openalex.org/W4383333931","https://openalex.org/W3041376971","https://openalex.org/W2074954788","https://openalex.org/W4319978628","https://openalex.org/W2174115052","https://openalex.org/W3152834843","https://openalex.org/W2105834977","https://openalex.org/W2076554046"],"abstract_inverted_index":{"High-resolution":[0],"direction":[1],"of":[2,16,28,40,45,98,104,135],"arrival":[3],"(DOA)":[4],"estimation":[5,86],"has":[6,127],"always":[7],"been":[8],"an":[9],"issue":[10],"in":[11,30,102],"signal":[12,32],"processing":[13,64],"field.":[14],"Most":[15],"conventional":[17,117],"methods":[18,47],"such":[19],"as":[20],"Multiple":[21],"Signal":[22],"Classification":[23],"(MUSIC),":[24],"suffer":[25],"from":[26],"lack":[27],"resolvability":[29,107],"low":[31],"to":[33,71,130],"noise":[34,131],"ratio":[35],"(SNR)":[36],"or":[37],"small":[38],"number":[39],"snapshots":[41],"whereas":[42],"computation":[43],"cost":[44],"new":[46],"are":[48],"considerable.":[49],"The":[50,96],"Compressive":[51],"MUSIC":[52,118],"(CS-MUSIC)":[53],"algorithm":[54],"deals":[55],"with":[56,60,87,94,116],"joint":[57],"sparse":[58],"problems":[59],"employing":[61,88],"both":[62,109],"array":[63],"and":[65,106,111,119,126],"compressive":[66],"sensing":[67],"(CS)":[68],"recovery":[69],"algorithms":[70],"achieve":[72],"a":[73,79],"high-resolution":[74],"result.":[75],"In":[76],"this":[77],"paper":[78],"hybrid":[80],"method":[81,101],"is":[82,114],"used":[83],"for":[84,108,132],"DOA":[85],"\u21131,":[89],"2":[90],"mixed-norm":[91],"minimization":[92],"jointly":[93],"MUSIC.":[95],"performance":[97],"the":[99,123],"proposed":[100],"terms":[103],"resolution":[105],"coherent":[110],"non-coherent":[112],"sources":[113],"compared":[115],"CS-MUSIC.":[120],"\u21131,2-MUSIC":[121],"overcomes":[122],"coherency":[124],"barrier":[125],"high":[128],"robustness":[129],"few":[133],"numbers":[134],"snapshots.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}