{"id":"https://openalex.org/W2987235547","doi":"https://doi.org/10.1587/transinf.2019edp7133","title":"Multi-Hypothesis Prediction Scheme Based on the Joint Sparsity Model","display_name":"Multi-Hypothesis Prediction Scheme Based on the Joint Sparsity Model","publication_year":2019,"publication_date":"2019-10-31","ids":{"openalex":"https://openalex.org/W2987235547","doi":"https://doi.org/10.1587/transinf.2019edp7133","mag":"2987235547"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2019edp7133","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edp7133","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/11/E102.D_2019EDP7133/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/11/E102.D_2019EDP7133/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101419943","display_name":"Can Chen","orcid":"https://orcid.org/0000-0002-1321-9672"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can CHEN","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029813349","display_name":"Chao Zhou","orcid":"https://orcid.org/0000-0001-6117-1805"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao ZHOU","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414692","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0002-6548-3002"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian LIU","raw_affiliation_strings":["College of Information Engineering, Nanjing University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Nanjing University of Finance and Economics","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076984228","display_name":"Dengyin Zhang","orcid":"https://orcid.org/0000-0001-6080-6151"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengyin ZHANG","raw_affiliation_strings":["College of Internet of Things, Nanjing University of Posts and Telecommunications","Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things, Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Internet of Things, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]}],"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":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14587287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E102.D","issue":"11","first_page":"2214","last_page":"2220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.7731159925460815},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6949714422225952},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6401408314704895},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6038488149642944},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5890553593635559},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5721824169158936},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.5595307350158691},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5557917356491089},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5251878499984741},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.47319504618644714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46321991086006165},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41758063435554504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3630622625350952},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35295069217681885},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3315626382827759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32962310314178467},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20359104871749878},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07322099804878235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7731159925460815},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6949714422225952},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6401408314704895},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6038488149642944},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5890553593635559},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5721824169158936},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.5595307350158691},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5557917356491089},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5251878499984741},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.47319504618644714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46321991086006165},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41758063435554504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3630622625350952},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35295069217681885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3315626382827759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32962310314178467},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20359104871749878},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07322099804878235},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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:10.1587/transinf.2019edp7133","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edp7133","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/11/E102.D_2019EDP7133/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2019edp7133","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edp7133","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/11/E102.D_2019EDP7133/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1815630768","display_name":null,"funder_award_id":"15KJA510002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2826636786","display_name":null,"funder_award_id":"MCM20170205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4439784669","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5927\u6c14\u6563\u5c04\u65b0\u6a21\u578b\u4e0e\u56fe\u50cf\u53bb\u96fe\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7226185932","display_name":"\u65e0\u7ebf\u4f20\u611f\u7f51\u591a\u6e90\u89c6\u9891\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61571241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8245420954","display_name":null,"funder_award_id":"15KJA510002","funder_id":"https://openalex.org/F4320321605","funder_display_name":"Government of Jiangsu Province"},{"id":"https://openalex.org/G8820511739","display_name":null,"funder_award_id":"17KJB510043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2987235547.pdf","grobid_xml":"https://content.openalex.org/works/W2987235547.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1148804415","https://openalex.org/W1972180784","https://openalex.org/W1986701690","https://openalex.org/W1993962865","https://openalex.org/W2015418199","https://openalex.org/W2045737896","https://openalex.org/W2049819383","https://openalex.org/W2083020047","https://openalex.org/W2090270274","https://openalex.org/W2094257491","https://openalex.org/W2100556411","https://openalex.org/W2100875869","https://openalex.org/W2111048499","https://openalex.org/W2118375162","https://openalex.org/W2129638195","https://openalex.org/W2129812098","https://openalex.org/W2135780853","https://openalex.org/W2140094090","https://openalex.org/W2143168132","https://openalex.org/W2143382771","https://openalex.org/W2145096794","https://openalex.org/W2147276092","https://openalex.org/W2153002160","https://openalex.org/W2157784146","https://openalex.org/W2219727625","https://openalex.org/W2220485312","https://openalex.org/W2289917018","https://openalex.org/W2292357316","https://openalex.org/W2342838199","https://openalex.org/W2507445327","https://openalex.org/W2578009003","https://openalex.org/W2590877996","https://openalex.org/W2592202642","https://openalex.org/W2625429595","https://openalex.org/W2726394592","https://openalex.org/W2774520637","https://openalex.org/W2787056106","https://openalex.org/W2963676935","https://openalex.org/W2979473749","https://openalex.org/W3100774664","https://openalex.org/W3101949101","https://openalex.org/W3102722370","https://openalex.org/W3143486570","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2090152127","https://openalex.org/W1965169884","https://openalex.org/W3125580510","https://openalex.org/W2008939113","https://openalex.org/W14679004","https://openalex.org/W1566651525","https://openalex.org/W2977652649","https://openalex.org/W2318206461","https://openalex.org/W37157938","https://openalex.org/W4298154183"],"abstract_inverted_index":{"Distributed":[0],"compressive":[1],"video":[2,18],"sensing":[3],"(DCVS)":[4],"has":[5],"received":[6],"considerable":[7],"attention":[8],"due":[9],"to":[10],"its":[11],"potential":[12],"in":[13,40,103],"source-limited":[14],"communication,":[15],"e.g.,":[16],"wireless":[17],"sensor":[19],"networks":[20],"(WVSNs).":[21],"Multi-hypothesis":[22],"(MH)":[23],"prediction,":[24],"which":[25,104],"treats":[26],"the":[27,47,55,90,95,105,110,115,124,140,150,153,156],"target":[28,56],"block":[29,57,108],"as":[30],"a":[31,37,98,128,135,162],"linear":[32],"combination":[33],"of":[34,155,165],"hypotheses,":[35],"is":[36,45,77],"state-of-the-art":[38,148],"technique":[39],"DCVS.":[41],"The":[42],"common":[43,112,125],"approach":[44],"under":[46],"supposition":[48],"that":[49,51,64],"blocks":[50,63,117],"are":[52,58,65,143,161],"dissimilar":[53],"from":[54,123],"given":[59],"lower":[60],"weights":[61],"than":[62],"more":[66,83],"similar.":[67],"This":[68],"assumption":[69],"can":[70],"yield":[71],"acceptable":[72],"reconstruction":[73],"quality,":[74],"but":[75],"it":[76],"not":[78],"suitable":[79],"for":[80,131,139],"scenarios":[81],"with":[82,146],"details.":[84],"In":[85],"this":[86],"paper,":[87],"based":[88],"on":[89],"joint":[91],"sparsity":[92],"model":[93],"(JSM),":[94],"authors":[96,151],"present":[97],"Tikhonov-regularized":[99],"MH":[100],"prediction":[101],"scheme":[102,130,158],"most":[106],"similar":[107,111],"provides":[109],"portion":[113],"and":[114,134],"others":[116],"provide":[118],"respective":[119],"unique":[120],"portions,":[121],"differing":[122],"supposition.":[126],"Specifically,":[127],"new":[129],"generating":[132],"hypotheses":[133],"Euclidean":[136],"distance-based":[137],"metric":[138],"regularized":[141],"term":[142],"proposed.":[144],"Compared":[145],"several":[147],"algorithms,":[149],"show":[152],"effectiveness":[154],"proposed":[157],"when":[159],"there":[160],"limited":[163],"number":[164],"hypotheses.":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}