{"id":"https://openalex.org/W2110427802","doi":"https://doi.org/10.1109/ssp.2012.6319681","title":"Frequency estimation in the presence of cycle slips: Filter banks and error bounds for phase unwrapping","display_name":"Frequency estimation in the presence of cycle slips: Filter banks and error bounds for phase unwrapping","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2110427802","doi":"https://doi.org/10.1109/ssp.2012.6319681","mag":"2110427802"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","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/A5045225677","display_name":"Keith Kastella","orcid":null},"institutions":[{"id":"https://openalex.org/I269741311","display_name":"National Sanitation Foundation International","ror":"https://ror.org/02azqtm75","country_code":"US","type":"facility","lineage":["https://openalex.org/I269741311"]},{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"K. Kastella","raw_affiliation_strings":["SRI International, Ann Arbor, MI","SRI International Ann Arbor MI USA"],"affiliations":[{"raw_affiliation_string":"SRI International, Ann Arbor, MI","institution_ids":["https://openalex.org/I269741311","https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI International Ann Arbor MI USA","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043157561","display_name":"Raghuraman Mudumbai","orcid":"https://orcid.org/0000-0001-8946-1556"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Mudumbai","raw_affiliation_strings":["Electrical & Computer Engineering, The University of Iowa, Iowa City, IA","Electrical & Computer Engineering, The University of Iowa, USA"],"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering, The University of Iowa, Iowa City, IA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Electrical & Computer Engineering, The University of Iowa, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007148263","display_name":"Troy Stevens","orcid":null},"institutions":[{"id":"https://openalex.org/I269741311","display_name":"National Sanitation Foundation International","ror":"https://ror.org/02azqtm75","country_code":"US","type":"facility","lineage":["https://openalex.org/I269741311"]},{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Stevens","raw_affiliation_strings":["SRI International, Ann Arbor, MI","SRI International Ann Arbor MI USA"],"affiliations":[{"raw_affiliation_string":"SRI International, Ann Arbor, MI","institution_ids":["https://openalex.org/I269741311","https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI International Ann Arbor MI USA","institution_ids":["https://openalex.org/I1298353152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045225677"],"corresponding_institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I269741311"],"apc_list":null,"apc_paid":null,"fwci":0.4897,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68134482,"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":"277","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.7760536074638367},{"id":"https://openalex.org/keywords/frequency-offset","display_name":"Frequency offset","score":0.7071818113327026},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.6833218336105347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563237905502319},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5502132177352905},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5315539240837097},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5269321203231812},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.5159550309181213},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4904293715953827},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.475768506526947},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4583025276660919},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.45221415162086487},{"id":"https://openalex.org/keywords/carrier-frequency-offset","display_name":"Carrier frequency offset","score":0.4344772398471832},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.38453787565231323},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3288406729698181},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.25985974073410034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25159600377082825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16467761993408203},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.14086216688156128},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.11837783455848694},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11153224110603333}],"concepts":[{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.7760536074638367},{"id":"https://openalex.org/C49319798","wikidata":"https://www.wikidata.org/wiki/Q5502874","display_name":"Frequency offset","level":4,"score":0.7071818113327026},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.6833218336105347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563237905502319},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5502132177352905},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5315539240837097},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5269321203231812},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.5159550309181213},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4904293715953827},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.475768506526947},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4583025276660919},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.45221415162086487},{"id":"https://openalex.org/C2776108382","wikidata":"https://www.wikidata.org/wiki/Q25111451","display_name":"Carrier frequency offset","level":5,"score":0.4344772398471832},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.38453787565231323},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3288406729698181},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.25985974073410034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25159600377082825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16467761993408203},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.14086216688156128},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.11837783455848694},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11153224110603333},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2012.6319681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1967845942","https://openalex.org/W2051156012","https://openalex.org/W2098613108","https://openalex.org/W2104130465","https://openalex.org/W2143649854","https://openalex.org/W2160337655"],"related_works":["https://openalex.org/W2163799874","https://openalex.org/W3134916881","https://openalex.org/W2110234499","https://openalex.org/W2373492178","https://openalex.org/W1974045225","https://openalex.org/W2540911486","https://openalex.org/W3175192043","https://openalex.org/W2068304403","https://openalex.org/W3147831239","https://openalex.org/W2371617615"],"abstract_inverted_index":{"We":[0,86,97],"consider":[1],"a":[2,6,9,18,88],"setting":[3],"in":[4,41,46,52,138],"which":[5],"receiver":[7],"uses":[8],"sequence":[10],"of":[11,29,60,75,105],"short,":[12],"narrowband":[13],"training":[14,62,77],"burst":[15],"signals":[16,125],"from":[17,50],"transmitter":[19],"to":[20,35,67,82,93,101],"jointly":[21],"estimate":[22],"the":[23,36,57,61,68,73,76,83,103,113,122],"time":[24],"delay":[25],"and":[26,71,108,129],"frequency":[27,69],"offset":[28],"its":[30],"local":[31],"clock":[32],"with":[33,112],"respect":[34],"transmitter.":[37],"A":[38],"key":[39],"challenge":[40],"this":[42,106,139],"estimation":[43],"problem":[44],"is":[45,64,79,136],"handling":[47,94],"cycle-slips":[48],"arising":[49],"ambiguities":[51],"phase":[53],"unwrapping":[54],"when":[55],"(a)":[56],"repetition":[58],"rate":[59],"signal":[63,78],"small":[65,80],"compared":[66],"offset,":[70],"(b)":[72],"bandwidth":[74],"relative":[81],"carrier":[84],"frequency.":[85],"propose":[87],"novel":[89],"Bayesian":[90],"filter-bank":[91],"approach":[92,107],"these":[95],"ambiguities.":[96],"present":[98],"numerical":[99],"simulations":[100],"show":[102],"effectiveness":[104],"compare":[109],"our":[110],"results":[111],"fundamental":[114],"posterior":[115],"Cramer-Rao":[116],"lower":[117],"bound.":[118],"The":[119],"filter":[120],"achieves":[121],"bound":[123],"for":[124],"between":[126],"about":[127],"5":[128],"35":[130],"dB":[131],"SNR,":[132],"showing":[133],"that":[134],"it":[135],"optimal":[137],"regime.":[140]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}