{"id":"https://openalex.org/W2956681760","doi":"https://doi.org/10.1109/icc.2019.8761436","title":"A Low-Complexity Retention Noise Parameter Estimation for MLC NAND Flash Memory","display_name":"A Low-Complexity Retention Noise Parameter Estimation for MLC NAND Flash Memory","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2956681760","doi":"https://doi.org/10.1109/icc.2019.8761436","mag":"2956681760"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2019.8761436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","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/A5101635734","display_name":"Wenhao Sun","orcid":"https://orcid.org/0000-0001-9644-8851"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhao Sun","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, Shaanxi, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017972286","display_name":"Jianping Zheng","orcid":"https://orcid.org/0000-0002-4244-9223"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Zheng","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, Shaanxi, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101635734"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.1768,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52491911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9987999796867371,"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/T11444","display_name":"Electromagnetic Compatibility and Noise Suppression","score":0.9478999972343445,"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"}},{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.9383000135421753,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/noise","display_name":"Noise (video)","score":0.639560878276825},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.5500761270523071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5414218902587891},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.49449607729911804},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4680953323841095},{"id":"https://openalex.org/keywords/nand-gate","display_name":"NAND gate","score":0.46365341544151306},{"id":"https://openalex.org/keywords/flash","display_name":"Flash (photography)","score":0.45479753613471985},{"id":"https://openalex.org/keywords/data-retention","display_name":"Data retention","score":0.41586804389953613},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35638123750686646},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2622748017311096},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.19286543130874634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14489096403121948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12787270545959473},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08182314038276672}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.639560878276825},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5500761270523071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414218902587891},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.49449607729911804},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4680953323841095},{"id":"https://openalex.org/C124296912","wikidata":"https://www.wikidata.org/wiki/Q575178","display_name":"NAND gate","level":3,"score":0.46365341544151306},{"id":"https://openalex.org/C2777526259","wikidata":"https://www.wikidata.org/wiki/Q221836","display_name":"Flash (photography)","level":2,"score":0.45479753613471985},{"id":"https://openalex.org/C2780866740","wikidata":"https://www.wikidata.org/wiki/Q5227345","display_name":"Data retention","level":2,"score":0.41586804389953613},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35638123750686646},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2622748017311096},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.19286543130874634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14489096403121948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12787270545959473},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08182314038276672},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2019.8761436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","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":17,"referenced_works":["https://openalex.org/W1964402820","https://openalex.org/W1976761722","https://openalex.org/W1989717322","https://openalex.org/W2002129922","https://openalex.org/W2005099286","https://openalex.org/W2010390358","https://openalex.org/W2014536047","https://openalex.org/W2019365293","https://openalex.org/W2128765501","https://openalex.org/W2166538764","https://openalex.org/W2185090512","https://openalex.org/W2290263866","https://openalex.org/W2343316582","https://openalex.org/W2685880320","https://openalex.org/W2962844766","https://openalex.org/W6670224864","https://openalex.org/W6962980458"],"related_works":["https://openalex.org/W2054139911","https://openalex.org/W1577524679","https://openalex.org/W2386432552","https://openalex.org/W4230869547","https://openalex.org/W2355887979","https://openalex.org/W4285309357","https://openalex.org/W2489439822","https://openalex.org/W4237143391","https://openalex.org/W1987306842","https://openalex.org/W4206097759"],"abstract_inverted_index":{"Retention":[0],"noise":[1,42,98],"is":[2,33,54,66,92,122],"one":[3],"of":[4,12,40,60,72,89,102,113,131,142],"key":[5],"components":[6],"which":[7,22,84],"impact":[8],"negatively":[9],"the":[10,35,58,73,95,154,161],"reliability":[11],"NAND":[13],"flash":[14],"memory.":[15],"It's":[16],"essential":[17],"to":[18,56,67,123],"apply":[19],"a":[20,50,85],"mechanism":[21],"can":[23,146,164],"recover":[24],"data":[25],"from":[26],"long-time":[27],"retention":[28,41,45,61,171],"noised":[29],"devices.":[30],"The":[31,63,119],"challenge":[32],"that":[34,160],"parameters,":[36],"mean":[37,114,143],"and":[38,76,100,115,144,169],"variance,":[39],"vary":[43],"with":[44],"time.":[46],"In":[47],"this":[48,90],"paper,":[49],"low-complexity":[51],"two-stage":[52],"method":[53,163],"proposed":[55,162],"estimate":[57,165],"parameters":[59,99,167],"noise.":[62],"first":[64,155],"stage":[65,121],"give":[68],"an":[69],"initial":[70,111,137],"choice":[71],"test":[74],"state":[75,91,133],"two":[77],"corresponding":[78],"read":[79,127],"sensing":[80,128],"reference":[81,129],"voltages":[82,130],"by":[83,134,149],"three-region":[86],"voltage":[87,109],"partition":[88],"determined.":[93],"Utilizing":[94],"relation":[96],"between":[97],"ratios":[101],"samples":[103],"located":[104],"in":[105,153],"these":[106,136],"properly":[107],"selected":[108],"regions,":[110],"estimates":[112,141],"variance":[116,145],"are":[117],"acquired.":[118],"second":[120],"find":[124],"out":[125],"new":[126],"another":[132],"employing":[135],"estimates.":[138],"Then,":[139],"refined":[140],"be":[147],"acquired":[148],"similar":[150],"processing":[151],"performed":[152],"stage.":[156],"Numerical":[157],"results":[158],"show":[159],"channel":[166],"accurately":[168],"extend":[170],"time":[172],"effectively.":[173]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
