{"id":"https://openalex.org/W4295046698","doi":"https://doi.org/10.1109/tsp.2022.3205474","title":"Graph Signal Compression by Joint Quantization and Sampling","display_name":"Graph Signal Compression by Joint Quantization and Sampling","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4295046698","doi":"https://doi.org/10.1109/tsp.2022.3205474"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3205474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3205474","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","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/A5014194863","display_name":"Pei Li","orcid":"https://orcid.org/0000-0001-9930-6699"},"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":true,"raw_author_name":"Pei Li","raw_affiliation_strings":["School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012405763","display_name":"Nir Shlezinger","orcid":"https://orcid.org/0000-0003-2234-929X"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Nir Shlezinger","raw_affiliation_strings":["School of ECE, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"School of ECE, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325587","display_name":"Haiyang Zhang","orcid":"https://orcid.org/0000-0002-9136-0735"},"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":"Haiyang Zhang","raw_affiliation_strings":["School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035382300","display_name":"Baoyun Wang","orcid":"https://orcid.org/0000-0002-7784-5605"},"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":"Baoyun Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["Faculty of Math and CS, Weizmann Institute of Science, Rehovot, Israel"],"affiliations":[{"raw_affiliation_string":"Faculty of Math and CS, Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014194863"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":1.9306,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88095992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"70","issue":null,"first_page":"4512","last_page":"4527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T13553","display_name":"Age of Information Optimization","score":0.9726999998092651,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9688000082969666,"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/algorithm","display_name":"Algorithm","score":0.5735304951667786},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5258501172065735},{"id":"https://openalex.org/keywords/bandlimiting","display_name":"Bandlimiting","score":0.5184435844421387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4976651966571808},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.44803309440612793},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4240982234477997},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4101850986480713},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3957616090774536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3642217516899109},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.33956602215766907},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.21081548929214478},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.15115758776664734}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5735304951667786},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5258501172065735},{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.5184435844421387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4976651966571808},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.44803309440612793},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4240982234477997},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4101850986480713},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3957616090774536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3642217516899109},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.33956602215766907},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.21081548929214478},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.15115758776664734},{"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2022.3205474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3205474","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1497214886","https://openalex.org/W1698699930","https://openalex.org/W1980811840","https://openalex.org/W1990488619","https://openalex.org/W1991252559","https://openalex.org/W2049285480","https://openalex.org/W2099111195","https://openalex.org/W2101491865","https://openalex.org/W2113158412","https://openalex.org/W2158787690","https://openalex.org/W2161763921","https://openalex.org/W2293423476","https://openalex.org/W2606654184","https://openalex.org/W2788350651","https://openalex.org/W2789682189","https://openalex.org/W2796431263","https://openalex.org/W2891697220","https://openalex.org/W2900845709","https://openalex.org/W2937787852","https://openalex.org/W2964012239","https://openalex.org/W2964171990","https://openalex.org/W2964956389","https://openalex.org/W2975749214","https://openalex.org/W3003835170","https://openalex.org/W3008420190","https://openalex.org/W3010884296","https://openalex.org/W3033664100","https://openalex.org/W3035497236","https://openalex.org/W3090695695","https://openalex.org/W3095079835","https://openalex.org/W3095521706","https://openalex.org/W3106866071","https://openalex.org/W3120529131","https://openalex.org/W3162723535","https://openalex.org/W4229574485","https://openalex.org/W4254197176","https://openalex.org/W4297736995","https://openalex.org/W4300694379","https://openalex.org/W6629852587","https://openalex.org/W6773319500"],"related_works":["https://openalex.org/W1527312120","https://openalex.org/W2963638790","https://openalex.org/W1902265650","https://openalex.org/W4298027785","https://openalex.org/W2160209843","https://openalex.org/W1964786086","https://openalex.org/W2161136939","https://openalex.org/W3012217557","https://openalex.org/W3003347734","https://openalex.org/W2111403872"],"abstract_inverted_index":{"Graph":[0],"signals":[1,19],"arise":[2],"in":[3,28,47,54,104],"various":[4],"applications,":[5],"ranging":[6],"from":[7],"sensor":[8],"networks":[9],"to":[10,25,30,57,109],"social":[11],"media":[12],"data.":[13],"The":[14,35],"high-dimensional":[15,205],"nature":[16],"of":[17,50,73,113,125,170,204,211,221],"these":[18],"implies":[20],"that":[21,92,191,222],"they":[22],"often":[23],"need":[24],"be":[26,31,58,97,159],"compressed":[27],"order":[29],"stored":[32],"and":[33,90,128,136,186,195],"transmitted.":[34],"common":[36],"framework":[37],"for":[38,80,131,141],"graph":[39,74,81,88,162,206],"signal":[40,75,82,214],"compression":[41,94],"is":[42,108],"based":[43],"on":[44,86,117,183],"sampling,":[45],"resulting":[46],"a":[48,61,100,122,132,199,218],"set":[49],"continuous-amplitude":[51],"samples,":[52],"which":[53,105,208],"turn":[55],"have":[56],"quantized":[59],"into":[60],"finite":[62,201],"bit":[63,145,202],"representation.":[64],"In":[65],"this":[66,118],"work,":[67],"we":[68,120,152],"study":[69],"the":[70,93,106,111,114,126,143,148,155,167,171,192,212],"joint":[71,123,193],"design":[72,124],"sampling":[76,127,194],"along":[77],"with":[78,215,224],"quantization,":[79],"compression.":[83],"We":[84],"focus":[85],"bandlimited":[87],"signals,":[89,207],"show":[91,153],"problem":[95],"can":[96,158],"represented":[98],"as":[99],"task-based":[101],"quantization":[102,134,196],"setup,":[103],"task":[107],"recover":[110],"spectrum":[112],"signal.":[115],"Based":[116],"equivalence,":[119],"propose":[121],"recovery":[129],"mechanisms":[130],"fixed":[133],"mapping,":[135],"present":[137],"an":[138],"iterative":[139],"algorithm":[140],"dividing":[142],"available":[144],"budget":[146],"among":[147],"discretized":[149],"samples.":[150],"Furthermore,":[151],"how":[154],"proposed":[156],"approach":[157],"realized":[160],"using":[161],"filters":[163],"combining":[164],"elements":[165],"corresponding":[166],"neighbouring":[168],"nodes":[169],"graph,":[172],"thus":[173],"facilitating":[174],"distributed":[175],"implementation":[176],"at":[177],"reduced":[178],"complexity.":[179],"Our":[180],"numerical":[181],"evaluations":[182],"both":[184],"synthetic":[185],"real":[187],"world":[188],"data":[189],"shows":[190],"method":[197],"yields":[198],"compact":[200],"representation":[203],"allows":[209],"reconstruction":[210],"original":[213],"accuracy":[216],"within":[217],"small":[219],"gap":[220],"achievable":[223],"infinite":[225],"resolution":[226],"quantizers.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}