{"id":"https://openalex.org/W4400276183","doi":"https://doi.org/10.1109/wcnc57260.2024.10571288","title":"Effective Compression for Sample Covariance Matrix in Interference Rejection Combining","display_name":"Effective Compression for Sample Covariance Matrix in Interference Rejection Combining","publication_year":2024,"publication_date":"2024-04-21","ids":{"openalex":"https://openalex.org/W4400276183","doi":"https://doi.org/10.1109/wcnc57260.2024.10571288"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc57260.2024.10571288","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcnc57260.2024.10571288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5002779731","display_name":"Xuhao Diao","orcid":"https://orcid.org/0000-0002-8763-676X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuhao Diao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317168","display_name":"Jing Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090322671","display_name":"Huabin Liu","orcid":"https://orcid.org/0000-0001-9174-1696"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huabin Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9990000128746033,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.656853437423706},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6221975088119507},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5025956630706787},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.49020010232925415},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4356597661972046},{"id":"https://openalex.org/keywords/sample-mean-and-sample-covariance","display_name":"Sample mean and sample covariance","score":0.4313984513282776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3858073353767395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3334228992462158},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25855588912963867},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23885279893875122},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2078937292098999},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11932933330535889},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09087568521499634}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.656853437423706},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6221975088119507},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5025956630706787},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.49020010232925415},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4356597661972046},{"id":"https://openalex.org/C181243257","wikidata":"https://www.wikidata.org/wiki/Q1693522","display_name":"Sample mean and sample covariance","level":3,"score":0.4313984513282776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3858073353767395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3334228992462158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25855588912963867},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23885279893875122},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2078937292098999},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11932933330535889},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09087568521499634},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc57260.2024.10571288","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcnc57260.2024.10571288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W20405322","https://openalex.org/W656592592","https://openalex.org/W1485437584","https://openalex.org/W1490160191","https://openalex.org/W1558125431","https://openalex.org/W1984921424","https://openalex.org/W1993482030","https://openalex.org/W2003690406","https://openalex.org/W2008205484","https://openalex.org/W2018282388","https://openalex.org/W2018342351","https://openalex.org/W2024165284","https://openalex.org/W2061521346","https://openalex.org/W2062949261","https://openalex.org/W2117756735","https://openalex.org/W2133475491","https://openalex.org/W2150907712","https://openalex.org/W2164310884","https://openalex.org/W4312258136","https://openalex.org/W4400276423"],"related_works":["https://openalex.org/W2587300415","https://openalex.org/W2161944348","https://openalex.org/W2106353646","https://openalex.org/W2942887760","https://openalex.org/W3195588398","https://openalex.org/W3208495656","https://openalex.org/W2116469877","https://openalex.org/W2057070315","https://openalex.org/W2096561759","https://openalex.org/W2066322168"],"abstract_inverted_index":{"In":[0,42],"the":[1,7,26,54,59,71,89,100,102,106,122],"interference":[2],"rejection":[3],"combining":[4],"(IRC)":[5],"algorithm,":[6],"sample":[8],"covariance":[9],"matrices":[10,30],"generally":[11],"have":[12],"to":[13,25,69,73,87,120],"be":[14,21,74],"stored":[15],"before":[16],"being":[17],"utilized,":[18],"which":[19,50],"can":[20,51],"extremely":[22],"costly":[23],"due":[24],"large":[27],"volumes":[28],"of":[29,61,65,105,124],"in":[31,92],"applied":[32],"slots":[33],"or":[34],"bandwidth,":[35],"coupled":[36],"with":[37,96],"its":[38],"difficult":[39],"compression":[40,48],"characteristics.":[41],"this":[43],"paper,":[44],"we":[45],"design":[46],"a":[47,77,82],"algorithm":[49,67],"significantly":[52],"reduce":[53],"storage":[55],"requirement":[56],"while":[57],"maintaining":[58],"performance":[60],"IRC.":[62],"The":[63],"core":[64],"our":[66],"is":[68,110],"transform":[70,109],"matrix":[72,80],"compressed":[75],"into":[76],"diagonally":[78],"dominant":[79],"via":[81],"suitable":[83],"unitary":[84,108],"transform,":[85],"and":[86,114],"store":[88],"off-diagonal":[90],"entries":[91],"floating":[93],"point":[94],"numbers":[95],"shorter":[97],"bit-widths.":[98],"Besides":[99],"storage,":[101],"computation":[103],"expense":[104],"proposed":[107,125],"low.":[111],"Theoretical":[112],"analysis":[113],"numerical":[115],"results":[116],"are":[117],"both":[118],"provided":[119],"demonstrate":[121],"effectiveness":[123],"algorithm.":[126]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}