{"id":"https://openalex.org/W3168662308","doi":"https://doi.org/10.3390/a14060165","title":"An Efficient Convolutional Blind Source Separation Algorithm for Speech Signals under Chaotic Masking","display_name":"An Efficient Convolutional Blind Source Separation Algorithm for Speech Signals under Chaotic Masking","publication_year":2021,"publication_date":"2021-05-26","ids":{"openalex":"https://openalex.org/W3168662308","doi":"https://doi.org/10.3390/a14060165","mag":"3168662308"},"language":"en","primary_location":{"id":"doi:10.3390/a14060165","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a14060165","pdf_url":"https://www.mdpi.com/1999-4893/14/6/165/pdf?version=1622090445","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/14/6/165/pdf?version=1622090445","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075643548","display_name":"Shiyu Guo","orcid":"https://orcid.org/0000-0002-1933-3003"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Guo","raw_affiliation_strings":["Electrical Engineering College, Heilongjiang University, Harbin 150080, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering College, Heilongjiang University, Harbin 150080, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048011784","display_name":"Mengna Shi","orcid":"https://orcid.org/0000-0003-2478-0673"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengna Shi","raw_affiliation_strings":["Electrical Engineering College, Heilongjiang University, Harbin 150080, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering College, Heilongjiang University, Harbin 150080, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081567725","display_name":"Yanqi Zhou","orcid":"https://orcid.org/0000-0003-2051-7616"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqi Zhou","raw_affiliation_strings":["Electrical Engineering College, Heilongjiang University, Harbin 150080, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering College, Heilongjiang University, Harbin 150080, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067195875","display_name":"Jiayin Yu","orcid":"https://orcid.org/0000-0001-7868-8245"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayin Yu","raw_affiliation_strings":["Electrical Engineering College, Heilongjiang University, Harbin 150080, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering College, Heilongjiang University, Harbin 150080, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045925500","display_name":"Erfu Wang","orcid":"https://orcid.org/0000-0003-3161-7225"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Erfu Wang","raw_affiliation_strings":["Electrical Engineering College, Heilongjiang University, Harbin 150080, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering College, Heilongjiang University, Harbin 150080, China","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045925500"],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.9142,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73610548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"6","first_page":"165","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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 Techniques","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 and Audio Processing","score":0.988099992275238,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7558314800262451},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7274773120880127},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6539250016212463},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5351513028144836},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5240333676338196},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5164840221405029},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.45372274518013},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4161025285720825},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41186583042144775},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3232438564300537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22651919722557068},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16881155967712402},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.16821283102035522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558314800262451},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7274773120880127},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6539250016212463},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5351513028144836},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5240333676338196},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5164840221405029},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.45372274518013},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4161025285720825},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41186583042144775},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3232438564300537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22651919722557068},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16881155967712402},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.16821283102035522},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a14060165","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a14060165","pdf_url":"https://www.mdpi.com/1999-4893/14/6/165/pdf?version=1622090445","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:37f330edef59444d8a70554357aadab1","is_oa":true,"landing_page_url":"https://doaj.org/article/37f330edef59444d8a70554357aadab1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 14, Iss 6, p 165 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/14/6/165/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a14060165","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 14; Issue 6; Pages: 165","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a14060165","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a14060165","pdf_url":"https://www.mdpi.com/1999-4893/14/6/165/pdf?version=1622090445","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3168662308.pdf","grobid_xml":"https://content.openalex.org/works/W3168662308.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W76597279","https://openalex.org/W1548802052","https://openalex.org/W1974647903","https://openalex.org/W2020182073","https://openalex.org/W2033178790","https://openalex.org/W2038185362","https://openalex.org/W2046233597","https://openalex.org/W2055637322","https://openalex.org/W2062560730","https://openalex.org/W2069436097","https://openalex.org/W2076745629","https://openalex.org/W2093107730","https://openalex.org/W2096441936","https://openalex.org/W2099741732","https://openalex.org/W2105617050","https://openalex.org/W2110024214","https://openalex.org/W2114461480","https://openalex.org/W2127851351","https://openalex.org/W2136808440","https://openalex.org/W2149709356","https://openalex.org/W2170768669","https://openalex.org/W2376492360","https://openalex.org/W2518746517","https://openalex.org/W2539141352","https://openalex.org/W2607357886","https://openalex.org/W2625220424","https://openalex.org/W2734288477","https://openalex.org/W2774162415","https://openalex.org/W2790080301","https://openalex.org/W2792400747","https://openalex.org/W2800297898","https://openalex.org/W2801589968","https://openalex.org/W2903011481","https://openalex.org/W2911007461","https://openalex.org/W2914427333","https://openalex.org/W2944317068","https://openalex.org/W2946853738","https://openalex.org/W2972962400","https://openalex.org/W2979321589","https://openalex.org/W2985929325","https://openalex.org/W3029775772","https://openalex.org/W3036622976","https://openalex.org/W3135842459","https://openalex.org/W4205778870","https://openalex.org/W6603233860","https://openalex.org/W6667633095","https://openalex.org/W6736926917","https://openalex.org/W6749374598"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2046761971","https://openalex.org/W2182042810","https://openalex.org/W2130656060","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2103029460"],"abstract_inverted_index":{"As":[0],"the":[1,13,19,27,37,41,61,79,87,93,99,113,119,145,153,170,177,190],"main":[2],"method":[3],"of":[4,15,30,64,81,103,173,179,196],"information":[5],"transmission,":[6],"it":[7],"is":[8,57,75,90,96,106,116,131,183],"particularly":[9],"important":[10],"to":[11,59,77,118,151],"ensure":[12],"security":[14],"speech":[16,31,65,94,181,197],"communication.":[17],"Considering":[18],"more":[20],"complex":[21],"multipath":[22,200],"channel":[23],"transmission":[24,62,192,201],"situation":[25],"in":[26,47,157,199],"wireless":[28],"communication":[29],"signals":[32,105,182,198],"and":[33,67,98,126,176,193],"separating":[34],"or":[35],"extracting":[36],"source":[38,49,84,129],"signal":[39,43,95,115],"from":[40],"convolutional":[42,82,100,174],"are":[44],"crucial":[45],"steps":[46],"obtaining":[48],"information.":[50],"In":[51],"this":[52,165],"paper,":[53],"chaotic":[54,88],"masking":[55,89],"technology":[56],"used":[58,76],"guarantee":[60],"safety":[63],"signals,":[66,175],"a":[68,134,187],"fast":[69,135],"fixed-point":[70,136],"independent":[71,137,158],"vector":[72,138],"analysis":[73,139],"algorithm":[74,142,166],"solve":[78,152],"problem":[80,156],"blind":[83,128,171],"separation.":[85],"First,":[86],"performed":[91,132],"before":[92],"sent,":[97],"mixing":[101],"process":[102],"multiple":[104],"simulated":[107],"by":[108,122],"impulse":[109],"response":[110],"filter.":[111],"Then,":[112],"observed":[114],"transformed":[117],"frequency":[120],"domain":[121],"short-time":[123],"Fourier":[124],"transform,":[125],"instantaneous":[127],"separation":[130,195],"using":[133],"algorithm.":[140],"The":[141],"can":[143,167],"preserve":[144],"high-order":[146],"statistical":[147],"correlation":[148],"between":[149],"frequencies":[150],"permutation":[154],"ambiguity":[155],"component":[159],"analysis.":[160],"Simulation":[161],"experiments":[162],"show":[163],"that":[164],"efficiently":[168],"complete":[169],"extraction":[172],"quality":[178],"recovered":[180],"better.":[184],"It":[185],"provides":[186],"solution":[188],"for":[189],"secure":[191],"effective":[194],"channels.":[202]},"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":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-06-22T00:00:00"}