{"id":"https://openalex.org/W3198287469","doi":"https://doi.org/10.1109/isit45174.2021.9517812","title":"Model-Inspired Deep Detection with Low-Resolution Receivers","display_name":"Model-Inspired Deep Detection with Low-Resolution Receivers","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3198287469","doi":"https://doi.org/10.1109/isit45174.2021.9517812","mag":"3198287469"},"language":"en","primary_location":{"id":"doi:10.1109/isit45174.2021.9517812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9517812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-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/A5084003913","display_name":"Shahin Khobahi","orcid":"https://orcid.org/0000-0003-3232-845X"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shahin Khobahi","raw_affiliation_strings":["University of Illinois,Chicago,IL,USA","University of Illinois, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"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":["Ben-Gurion University of the Negev,Be&#x0027;er-Sheva,Israel","Ben-Gurion University of the Negev, Be'er-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev,Be&#x0027;er-Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"Ben-Gurion University of the Negev, Be'er-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053865178","display_name":"Mojtaba Soltanalian","orcid":"https://orcid.org/0000-0003-3714-4449"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mojtaba Soltanalian","raw_affiliation_strings":["University of Illinois,Chicago,IL,USA","University of Illinois, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"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":["Weizmann Institute of Science,Rehovot,Israel","Weizmann Institute of Science, Rehovot, Israel"],"affiliations":[{"raw_affiliation_string":"Weizmann Institute of Science,Rehovot,Israel","institution_ids":["https://openalex.org/I53964585"]},{"raw_affiliation_string":"Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084003913"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.5313,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61230469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3349","last_page":"3354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9987999796867371,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.8309429883956909},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6425524950027466},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5772349834442139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4937959611415863},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.49006378650665283},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47375351190567017},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.47319599986076355},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47138553857803345},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4340876042842865},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4204004406929016},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41912105679512024},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.408261775970459},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3234621286392212},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18091019988059998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8309429883956909},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6425524950027466},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5772349834442139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4937959611415863},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.49006378650665283},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47375351190567017},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.47319599986076355},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47138553857803345},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4340876042842865},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4204004406929016},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41912105679512024},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.408261775970459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3234621286392212},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18091019988059998},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/isit45174.2021.9517812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9517812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4107925896","display_name":null,"funder_award_id":"0100101","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"},{"id":"https://openalex.org/G6576269142","display_name":null,"funder_award_id":"CCF-1704401","funder_id":"https://openalex.org/F4320308960","funder_display_name":"United States - Israel Binational Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320308960","display_name":"United States - Israel Binational Science Foundation","ror":"https://ror.org/00j8z2m73"},{"id":"https://openalex.org/F4320310516","display_name":"Department of Primary Industries","ror":"https://ror.org/03m3hse57"},{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W649866511","https://openalex.org/W1522301498","https://openalex.org/W1776974347","https://openalex.org/W1831449718","https://openalex.org/W2054692642","https://openalex.org/W2134179788","https://openalex.org/W2154423986","https://openalex.org/W2259323981","https://openalex.org/W2777627674","https://openalex.org/W2902355249","https://openalex.org/W2919653617","https://openalex.org/W2961099536","https://openalex.org/W2963577893","https://openalex.org/W2964121744","https://openalex.org/W2964163499","https://openalex.org/W2967007031","https://openalex.org/W2970912523","https://openalex.org/W2971969030","https://openalex.org/W3008845814","https://openalex.org/W3009641100","https://openalex.org/W3011730771","https://openalex.org/W3011774749","https://openalex.org/W3013123460","https://openalex.org/W3017297985","https://openalex.org/W3035421912","https://openalex.org/W3045854449","https://openalex.org/W3083868840","https://openalex.org/W3089344513","https://openalex.org/W3091085437","https://openalex.org/W3097158613","https://openalex.org/W3112170415","https://openalex.org/W3115024154","https://openalex.org/W3133902371","https://openalex.org/W3143251189","https://openalex.org/W3168057823","https://openalex.org/W3171699820","https://openalex.org/W3186277222","https://openalex.org/W3203904215","https://openalex.org/W4295677899","https://openalex.org/W4297801963","https://openalex.org/W6631190155","https://openalex.org/W6638670064","https://openalex.org/W6760002947","https://openalex.org/W6771584377","https://openalex.org/W6775078278","https://openalex.org/W6777295268","https://openalex.org/W6781402986","https://openalex.org/W6783963950","https://openalex.org/W6787161265","https://openalex.org/W6787804947"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W4375867731","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W3143779693","https://openalex.org/W2626808643","https://openalex.org/W2004064826","https://openalex.org/W3103727510","https://openalex.org/W4390846322"],"abstract_inverted_index":{"The":[0,95],"need":[1],"to":[2,68,104,109,122],"recover":[3],"high-dimensional":[4],"signals":[5],"from":[6,42,75,130],"their":[7],"noisy":[8,78],"low-resolution":[9],"quantized":[10],"measurements":[11,79,92],"is":[12],"widely":[13],"encountered":[14],"in":[15,114,124,151],"communications":[16,153],"and":[17,31,134,154,164],"sensing.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22],"focus":[23],"on":[24,48,54,172],"the":[25,70,76,85,90,110,115,131,143,157,173],"extreme":[26],"case":[27],"of":[28,58,73,84,112,117,136,175],"one-bit":[29,43,77,91,148],"quantizers,":[30],"propose":[32],"a":[33,49,55,64,125],"deep":[34,56,97,106],"detector":[35,98],"network,":[36],"called":[37],"LoRD-Net,":[38],"for":[39,147,180],"signal":[40,72,149],"recovering":[41,69],"measurements.":[44],"Our":[45],"approach":[46],"relies":[47],"model-aware":[50],"data-driven":[51,126,163],"architecture,":[52,119],"based":[53],"unfolding":[57],"first-order":[59],"optimization":[60,138],"iterations.":[61],"LoRD-Net":[62],"has":[63,99],"task-based":[65],"architecture":[66,146],"dedicated":[67],"underlying":[71],"interest":[74],"without":[80],"requiring":[81],"prior":[82],"knowledge":[83],"channel":[86],"matrix":[87],"through":[88],"which":[89],"are":[93],"obtained.":[94],"proposed":[96,144,158],"much":[100],"fewer":[101],"parameters":[102],"compared":[103],"black-box":[105],"networks":[107],"due":[108],"incorporation":[111],"domain-knowledge":[113],"design":[116],"its":[118],"allowing":[120],"it":[121],"operate":[123],"fashion":[127],"while":[128,168],"benefiting":[129],"flexibility,":[132],"versatility,":[133],"reliability":[135],"model-based":[137,165],"methods.":[139],"We":[140],"numerically":[141],"evaluate":[142],"receiver":[145],"recovery":[150],"wireless":[152],"demonstrate":[155],"that":[156],"hybrid":[159],"methodology":[160],"outperforms":[161],"both":[162],"state-of-the-art":[166],"methods,":[167],"utilizing":[169],"small":[170],"datasets,":[171],"order":[174],"merely":[176],"~":[177],"500":[178],"samples,":[179],"training.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
