乐胖代购免代理版

{"id":"https://openalex.org/W2891697220","doi":"https://doi.org/10.1109/icassp.2018.8462500","title":"Optimal Power and Bit Allocation for Graph Signal Interpolation","display_name":"Optimal Power and Bit Allocation for Graph Signal Interpolation","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891697220","doi":"https://doi.org/10.1109/icassp.2018.8462500","mag":"2891697220"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5000852147","display_name":"Paolo Di Lorenzo","orcid":"https://orcid.org/0000-0002-4130-3177"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Di Lorenzo","raw_affiliation_strings":["DIET, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DIET, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084159640","display_name":"Sergio Barbarossa","orcid":"https://orcid.org/0000-0001-9846-8741"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Barbarossa","raw_affiliation_strings":["DIET, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DIET, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016153147","display_name":"Paolo Banelli","orcid":"https://orcid.org/0000-0002-0004-6370"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Banelli","raw_affiliation_strings":["Dept. of Engineering, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Engineering, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.369,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":8,"citation_normalized_percentile":{"value":0.616801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"4649","last_page":"4653"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9992,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9992,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9922,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13553","display_name":"Age of Information Optimization","score":0.9865,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/bandlimiting","display_name":"Bandlimiting","score":0.8900106},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation","score":0.4584401},{"id":"https://openalex.org/keywords/discrete-time-signal","display_name":"Discrete-time signal","score":0.41253895}],"concepts":[{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.8900106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432995},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5800243},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.54070127},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4644831},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4584401},{"id":"https://openalex.org/C146749787","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete-time signal","level":5,"score":0.41253895},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35421142},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.29022712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28779283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18551755},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.15167135},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.123560876},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.08829707},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"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/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":25,"referenced_works":["https://openalex.org/W1513754091","https://openalex.org/W1690143098","https://openalex.org/W1698699930","https://openalex.org/W1991252559","https://openalex.org/W2024457004","https://openalex.org/W2030319053","https://openalex.org/W2074128440","https://openalex.org/W2099705786","https://openalex.org/W2101491865","https://openalex.org/W2110079746","https://openalex.org/W2119699244","https://openalex.org/W2135079230","https://openalex.org/W2152481521","https://openalex.org/W2161763921","https://openalex.org/W2179147795","https://openalex.org/W2195972617","https://openalex.org/W2215668387","https://openalex.org/W2295566694","https://openalex.org/W2404087539","https://openalex.org/W2606654184","https://openalex.org/W2949959605","https://openalex.org/W2962817598","https://openalex.org/W3098927376","https://openalex.org/W4206180546","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W4298027785","https://openalex.org/W3093534330","https://openalex.org/W2963638790","https://openalex.org/W2785032488","https://openalex.org/W2161136939","https://openalex.org/W2156213969","https://openalex.org/W2150539049","https://openalex.org/W2108924426","https://openalex.org/W1902265650","https://openalex.org/W1527312120"],"abstract_inverted_index":{"We":[0],"study":[1],"centralized":[2],"interpolation":[3,85],"of":[4,27,37,70,86],"bandlimited":[5,87],"graph":[6,73,88],"signals":[7,89],"at":[8],"a":[9,23,72],"fusion":[10],"center":[11],"(FC),":[12],"when":[13],"sampled":[14],"data":[15],"are":[16],"transmitted":[17],"over":[18],"rate-constrained":[19],"links.":[20],"In":[21,49],"such":[22,39],"scenario,":[24],"the":[25,28,64,68,81],"performance":[26],"reconstruction":[29],"task":[30],"is":[31],"inevitably":[32],"affected":[33],"by":[34],"several":[35],"sources":[36],"errors":[38],"as":[40],"observation":[41],"noise":[42],"and":[43,63],"quantization":[44,61],"due":[45],"to":[46],"source":[47],"encoding.":[48],"this":[50],"paper,":[51],"we":[52],"propose":[53],"two":[54],"strategies":[55],"for":[56,84],"optimally":[57],"selecting":[58],"transmission":[59],"powers,":[60],"bits,":[62],"sampling":[65],"set,":[66],"with":[67,75],"aim":[69],"interpolating":[71],"signal":[74],"guaranteed":[76],"performance.":[77],"Numerical":[78],"results":[79],"validate":[80],"proposed":[82],"approach":[83],"under":[90],"communication":[91],"constraints.":[92]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2891697220","counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2024-12-11T20:29:57.939821","created_date":"2018-09-27"}