{"id":"https://openalex.org/W3022931987","doi":"https://doi.org/10.1109/lwc.2020.2990737","title":"Improved Low-Resolution Quantized SIMO Estimation via Deep Learning","display_name":"Improved Low-Resolution Quantized SIMO Estimation via Deep Learning","publication_year":2020,"publication_date":"2020-04-28","ids":{"openalex":"https://openalex.org/W3022931987","doi":"https://doi.org/10.1109/lwc.2020.2990737","mag":"3022931987"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2020.2990737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2020.2990737","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/A5001205081","display_name":"Saichao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saichao Liu","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University, Kaifeng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062618254","display_name":"Shengbo Chen","orcid":"https://orcid.org/0000-0002-9026-8128"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengbo Chen","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0002-9026-8128","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016749653","display_name":"Cong Shen","orcid":"https://orcid.org/0000-0002-3148-4453"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Shen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA"],"raw_orcid":"https://orcid.org/0000-0002-3148-4453","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041390059","display_name":"Mohamed A. Ismail","orcid":"https://orcid.org/0000-0001-5059-4220"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohamed Ismail","raw_affiliation_strings":["Department of Civil Engineering, Miami College of Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0001-5059-4220","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Miami College of Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026087527","display_name":"Roshan Kumar","orcid":"https://orcid.org/0000-0002-4945-0366"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Roshan Kumar","raw_affiliation_strings":["Department of Electronic and Information Technology, Miami College of Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0002-4945-0366","affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Technology, Miami College of Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1707,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44514703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"8","first_page":"1331","last_page":"1335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9944999814033508,"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":0.9923999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.8418408632278442},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7964551448822021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6601253151893616},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5789406299591064},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.555024266242981},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5266083478927612},{"id":"https://openalex.org/keywords/converters","display_name":"Converters","score":0.44510552287101746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35163453221321106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2820017337799072},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1599433720111847}],"concepts":[{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.8418408632278442},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7964551448822021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6601253151893616},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5789406299591064},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.555024266242981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5266083478927612},{"id":"https://openalex.org/C2778422915","wikidata":"https://www.wikidata.org/wiki/Q10302051","display_name":"Converters","level":3,"score":0.44510552287101746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35163453221321106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2820017337799072},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1599433720111847},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2020.2990737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2020.2990737","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1560563382","https://openalex.org/W1832693441","https://openalex.org/W1973171928","https://openalex.org/W1982222550","https://openalex.org/W2130942839","https://openalex.org/W2160815625","https://openalex.org/W2184045248","https://openalex.org/W2189415357","https://openalex.org/W2194775991","https://openalex.org/W2239825991","https://openalex.org/W2400729854","https://openalex.org/W2543606931","https://openalex.org/W2707890836","https://openalex.org/W2937301965","https://openalex.org/W2946678252","https://openalex.org/W2963287528","https://openalex.org/W2991052729","https://openalex.org/W3099416516","https://openalex.org/W3104166565","https://openalex.org/W3117864259","https://openalex.org/W6679436768"],"related_works":["https://openalex.org/W631083485","https://openalex.org/W4313452936","https://openalex.org/W2097026685","https://openalex.org/W2169811953","https://openalex.org/W1999706086","https://openalex.org/W2521753262","https://openalex.org/W2075897667","https://openalex.org/W3125536267","https://openalex.org/W2907746047","https://openalex.org/W2073909383"],"abstract_inverted_index":{"The":[0,19],"signal":[1],"estimation":[2],"problem":[3],"in":[4,50,93],"a":[5,53],"single":[6],"input":[7],"multiple":[8],"output":[9],"(SIMO)":[10],"system":[11,69],"with":[12,98],"low-resolution":[13],"analog-to-digital":[14],"converters":[15],"(ADCs)":[16],"is":[17,27,59],"studied.":[18],"optimal":[20],"minimum":[21],"mean":[22,85],"square":[23,86],"error":[24,87],"(MMSE)":[25],"estimator":[26,57],"difficult":[28],"to":[29,32],"compute":[30],"due":[31],"the":[33,48,62,68,78,83,96],"nonlinearity":[34],"introduced":[35],"by":[36,47],"ADCs,":[37],"while":[38],"linear":[39],"MMSE":[40],"(LMMSE)":[41],"suffers":[42],"from":[43],"performance":[44,88],"degradation.":[45],"Motivated":[46],"advances":[49],"deep":[51],"learning,":[52],"convolutional":[54],"neural":[55],"network":[56],"(CNNE)":[58],"proposed,":[60],"leveraging":[61],"highly":[63],"successful":[64],"TextCNN.":[65],"We":[66],"simulate":[67],"under":[70],"both":[71],"accurate":[72],"and":[73,77],"inaccurate":[74],"channel":[75],"estimation,":[76],"numerical":[79],"results":[80],"suggest":[81],"that":[82],"normalized":[84],"of":[89,95],"CNNE":[90],"outperforms":[91],"LMMSE":[92],"majority":[94],"cases":[97],"less":[99],"runtime.":[100]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}