{"id":"https://openalex.org/W4385326267","doi":"https://doi.org/10.1109/lwc.2023.3299451","title":"Deep Learning-Based Cluster Delay Estimation Using Prior Sparsity","display_name":"Deep Learning-Based Cluster Delay Estimation Using Prior Sparsity","publication_year":2023,"publication_date":"2023-07-27","ids":{"openalex":"https://openalex.org/W4385326267","doi":"https://doi.org/10.1109/lwc.2023.3299451"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2023.3299451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2023.3299451","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-article"},"type":"article","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/A5100605244","display_name":"Zhu Yong","orcid":"https://orcid.org/0009-0002-3507-8791"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhu","raw_affiliation_strings":["State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0002-3507-8791","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101997875","display_name":"Jie Ma","orcid":"https://orcid.org/0009-0004-1093-3135"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Ma","raw_affiliation_strings":["Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0004-1093-3135","affiliations":[{"raw_affiliation_string":"Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103234102","display_name":"Yiming Yu","orcid":"https://orcid.org/0000-0003-1852-4868"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Yu","raw_affiliation_strings":["Department of Radio Engineering, China Mobile Group Design Institute Company Ltd., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1852-4868","affiliations":[{"raw_affiliation_string":"Department of Radio Engineering, China Mobile Group Design Institute Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003136805","display_name":"Songtao Gao","orcid":"https://orcid.org/0000-0002-5583-6038"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songtao Gao","raw_affiliation_strings":["Department of Radio Engineering, China Mobile Group Design Institute Company Ltd., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5583-6038","affiliations":[{"raw_affiliation_string":"Department of Radio Engineering, China Mobile Group Design Institute Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100603995","display_name":"Haiming Wang","orcid":"https://orcid.org/0000-0002-6156-258X"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiming Wang","raw_affiliation_strings":["State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China","Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6156-258X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6671,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65266003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"12","issue":"11","first_page":"1936","last_page":"1940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7371045351028442},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5851261615753174},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5662579536437988},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4893921911716461},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.47456270456314087},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4623500108718872},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4599328339099884},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4237288236618042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38451912999153137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.223102867603302},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08167040348052979},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07875555753707886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371045351028442},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5851261615753174},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5662579536437988},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4893921911716461},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.47456270456314087},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4623500108718872},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4599328339099884},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4237288236618042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38451912999153137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.223102867603302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08167040348052979},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07875555753707886},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2023.3299451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2023.3299451","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2734937587","display_name":null,"funder_award_id":"61960206006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4160592308","display_name":null,"funder_award_id":"62271133","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1894039498","https://openalex.org/W2016506370","https://openalex.org/W2100860841","https://openalex.org/W2101047542","https://openalex.org/W2101417447","https://openalex.org/W2103263585","https://openalex.org/W2104266700","https://openalex.org/W2110789499","https://openalex.org/W2113317424","https://openalex.org/W2128420766","https://openalex.org/W2140089063","https://openalex.org/W2146330672","https://openalex.org/W2157009226","https://openalex.org/W2162870748","https://openalex.org/W2166811577","https://openalex.org/W2305126402","https://openalex.org/W2528305538","https://openalex.org/W2891159334","https://openalex.org/W2897361856","https://openalex.org/W2900991556","https://openalex.org/W2972574632","https://openalex.org/W2978977033","https://openalex.org/W3009118568","https://openalex.org/W3015916644","https://openalex.org/W3024826073","https://openalex.org/W3081368372","https://openalex.org/W3122502622","https://openalex.org/W4205090243","https://openalex.org/W4312706165","https://openalex.org/W6631190155","https://openalex.org/W6682098962","https://openalex.org/W6697922924"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4375867731","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"A":[0],"deep":[1,42],"learning":[2],"(DL)-based":[3],"cluster":[4,71],"delay":[5,27,38,51,75,92],"estimation":[6,93],"method":[7,94],"using":[8],"prior":[9],"sparsity":[10],"is":[11,46],"proposed.":[12],"Firstly,":[13],"the":[14,17,25,37,50,54,62,89],"columns":[15],"of":[16,20,36],"covariance":[18],"matrix":[19],"channel":[21],"frequency":[22],"response":[23],"in":[24,97],"time":[26],"domain":[28],"are":[29],"formulated":[30],"as":[31],"undersampled":[32],"noisy":[33],"linear":[34],"measurements":[35],"spectrum.":[39],"Then,":[40],"a":[41],"convolutional":[43],"network":[44],"(DCN)":[45],"used":[47,68],"to":[48,69],"recover":[49],"spectrum":[52],"from":[53],"measurement":[55],"vector.":[56],"Compared":[57],"with":[58,73],"conventional":[59],"model-driven":[60],"methods,":[61],"proposed":[63,90],"data-driven":[64],"DCN":[65],"can":[66],"be":[67],"estimate":[70],"delays":[72],"smaller":[74],"intervals":[76],"and":[77,100],"also":[78],"has":[79,95],"an":[80],"excellent":[81],"generalization":[82],"ability.":[83],"Finally,":[84],"numerical":[85],"results":[86],"show":[87],"that":[88],"DL-based":[91],"advantages":[96],"both":[98],"precision":[99],"computational":[101],"efficiency.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}