{"id":"https://openalex.org/W2489717699","doi":"https://doi.org/10.1145/2851613.2851635","title":"Multiscale convolutive blind source separation in wavelet transform domain","display_name":"Multiscale convolutive blind source separation in wavelet transform domain","publication_year":2016,"publication_date":"2016-04-04","ids":{"openalex":"https://openalex.org/W2489717699","doi":"https://doi.org/10.1145/2851613.2851635","mag":"2489717699"},"language":"en","primary_location":{"id":"doi:10.1145/2851613.2851635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851613.2851635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual ACM Symposium on Applied Computing","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/A5065524879","display_name":"Jamel Hattay","orcid":"https://orcid.org/0000-0002-8735-8325"},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Jamel Hattay","raw_affiliation_strings":["Sys'Com Laboratory, ENIT, University of Tunis, El Manar Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sys'Com Laboratory, ENIT, University of Tunis, El Manar Tunisia","institution_ids":["https://openalex.org/I63596082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043989524","display_name":"Samir Bela\u00efd","orcid":"https://orcid.org/0000-0003-3392-507X"},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Samir Belaid","raw_affiliation_strings":["MARS Research Unit, University of Monastir, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MARS Research Unit, University of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063926502","display_name":"Wady Naanaa","orcid":"https://orcid.org/0000-0002-7909-3128"},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Wady Naanaa","raw_affiliation_strings":["University Of Monastir, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030379213","display_name":"Taoufik Aguili","orcid":"https://orcid.org/0000-0001-5071-013X"},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Taoufik Aguili","raw_affiliation_strings":["Sys'Com Laboratory, University of Tunis, El Manar Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sys'Com Laboratory, University of Tunis, El Manar Tunisia","institution_ids":["https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0523089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"60"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9733999967575073,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/blind-signal-separation","display_name":"Blind signal separation","score":0.7785914540290833},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6216757297515869},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.600531816482544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5903034806251526},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5703834295272827},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.5434127449989319},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5212476849555969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5184109210968018},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.5144932270050049},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49752333760261536},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48318901658058167},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4825800955295563},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4618488848209381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4595346450805664},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.431427925825119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4127659201622009},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4002801775932312},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.06400007009506226}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7785914540290833},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6216757297515869},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.600531816482544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5903034806251526},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5703834295272827},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.5434127449989319},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5212476849555969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5184109210968018},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.5144932270050049},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49752333760261536},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48318901658058167},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4825800955295563},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4618488848209381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4595346450805664},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.431427925825119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4127659201622009},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4002801775932312},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.06400007009506226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2851613.2851635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851613.2851635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual ACM Symposium on Applied Computing","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":18,"referenced_works":["https://openalex.org/W1486427395","https://openalex.org/W1972744999","https://openalex.org/W1974581749","https://openalex.org/W1981276685","https://openalex.org/W2027884847","https://openalex.org/W2095456658","https://openalex.org/W2099741732","https://openalex.org/W2101478599","https://openalex.org/W2108384452","https://openalex.org/W2116766578","https://openalex.org/W2132548659","https://openalex.org/W2133069808","https://openalex.org/W2146842127","https://openalex.org/W2154124003","https://openalex.org/W2165779779","https://openalex.org/W2399272893","https://openalex.org/W2492353954","https://openalex.org/W3003145907"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W1976022598","https://openalex.org/W2085792030","https://openalex.org/W68308810","https://openalex.org/W1506615375","https://openalex.org/W2391053410","https://openalex.org/W2358271565","https://openalex.org/W2144408025","https://openalex.org/W4321517526","https://openalex.org/W1967182499"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,31],"multiresolution":[3],"approach":[4],"for":[5],"blind":[6,79],"image":[7,80],"separation":[8,81],"convolutely":[9],"mixed.":[10],"To":[11],"move":[12],"in":[13],"transform":[14],"domain,":[15],"we":[16],"make":[17],"use":[18],"of":[19],"an":[20,44],"Adaptive":[21],"Quincunx":[22],"Lifting":[23],"Scheme":[24],"based":[25],"on":[26,62],"wavelet":[27],"decomposition":[28],"followed":[29],"by":[30,43],"geometric":[32],"unmixing":[33,50],"algorithm.":[34],"In":[35],"others":[36],"words,":[37],"the":[38,49,55,69],"mixed":[39],"signals":[40],"are":[41],"decomposed":[42],"adaptive":[45],"lifting":[46],"scheme.":[47],"Then,":[48],"algorithm":[51],"is":[52],"applied":[53],"to":[54],"more":[56],"relevant":[57],"components.":[58],"Experiments":[59],"carried":[60],"out":[61],"images":[63],"from":[64],"various":[65],"origins":[66],"showed":[67],"that":[68],"proposed":[70],"method":[71],"yields":[72],"better":[73],"results":[74],"than":[75],"many":[76],"widely":[77],"used":[78],"algorithms.":[82]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
