{"id":"https://openalex.org/W2511653905","doi":"https://doi.org/10.1109/isit.2016.7541500","title":"Bandlimited field estimation from samples recorded by a location-unaware mobile sensor","display_name":"Bandlimited field estimation from samples recorded by a location-unaware mobile sensor","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2511653905","doi":"https://doi.org/10.1109/isit.2016.7541500","mag":"2511653905"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5101739616","display_name":"Animesh Kumar","orcid":"https://orcid.org/0000-0001-7845-3171"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Animesh Kumar","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India 400076","Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India 400076","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101739616"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07406158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1257","last_page":"1261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9957000017166138,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/sampling","display_name":"Sampling (signal processing)","score":0.7049950361251831},{"id":"https://openalex.org/keywords/bandlimiting","display_name":"Bandlimiting","score":0.5627179145812988},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5409799814224243},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5099390745162964},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5039321780204773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4892442226409912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4427696764469147},{"id":"https://openalex.org/keywords/mobile-telephony","display_name":"Mobile telephony","score":0.4106757342815399},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34755486249923706},{"id":"https://openalex.org/keywords/mobile-radio","display_name":"Mobile radio","score":0.2029488980770111},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16079512238502502},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1496630311012268},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06453469395637512}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7049950361251831},{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.5627179145812988},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5409799814224243},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5099390745162964},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5039321780204773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4892442226409912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4427696764469147},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.4106757342815399},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34755486249923706},{"id":"https://openalex.org/C2781307350","wikidata":"https://www.wikidata.org/wiki/Q6887221","display_name":"Mobile radio","level":2,"score":0.2029488980770111},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16079512238502502},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1496630311012268},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06453469395637512},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2016.7541500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","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":25,"referenced_works":["https://openalex.org/W565955800","https://openalex.org/W1966725464","https://openalex.org/W1988543519","https://openalex.org/W2030998706","https://openalex.org/W2051447688","https://openalex.org/W2062120886","https://openalex.org/W2087012806","https://openalex.org/W2118934672","https://openalex.org/W2133223220","https://openalex.org/W2165221495","https://openalex.org/W2170022658","https://openalex.org/W2255535091","https://openalex.org/W2404424557","https://openalex.org/W2504767107","https://openalex.org/W2576544140","https://openalex.org/W2592904793","https://openalex.org/W2595897327","https://openalex.org/W2600064692","https://openalex.org/W2797135730","https://openalex.org/W2963572345","https://openalex.org/W4233665588","https://openalex.org/W4242565096","https://openalex.org/W4299663785","https://openalex.org/W6686187329","https://openalex.org/W6692348356"],"related_works":["https://openalex.org/W2111364039","https://openalex.org/W2156213969","https://openalex.org/W2129914186","https://openalex.org/W1947978507","https://openalex.org/W2091702063","https://openalex.org/W2094593363","https://openalex.org/W1962077027","https://openalex.org/W2005430599","https://openalex.org/W1996128712","https://openalex.org/W2042102171"],"abstract_inverted_index":{"Spatial":[0],"field":[1,26,57,94],"sampling":[2,38,73,110],"with":[3],"mobile":[4,34,107,128],"sensor":[5,35],"has":[6],"recently":[7],"been":[8],"addressed":[9],"in":[10,79,93],"the":[11,72,76,80,102,106,117,121],"literature.":[12],"This":[13],"work":[14],"introduces":[15],"and":[16,45,47,75],"proposes":[17],"solution":[18],"to":[19],"a":[20,24,33,41,125],"fundamental":[21],"question:":[22],"can":[23,112],"spatial":[25,62],"be":[27,113],"estimated":[28],"from":[29],"samples":[30,58],"taken":[31],"by":[32,65,105,115,124],"at":[36],"unknown":[37,67],"locations":[39,63,74],"along":[40],"path?":[42],"Spatially":[43],"one-dimensional":[44],"bandlimited,":[46],"temporally":[48],"fixed":[49],"fields":[50],"are":[51,59,83],"considered.":[52],"It":[53,86],"is":[54,87,101],"assumed":[55],"that":[56,89],"collected":[60],"on":[61],"realized":[64],"an":[66],"renewal":[68,81],"process.":[69],"That":[70],"is,":[71],"inter-sample":[77,122],"distribution":[78],"process":[82],"both":[84],"unknown.":[85],"shown":[88],"average":[90],"mean-squared":[91],"error":[92],"estimation":[95],"decreases":[96],"as":[97],"O(1/n)":[98],"where":[99],"n":[100],"sampling-rate":[103],"employed":[104],"sensor.":[108,129],"The":[109],"rate":[111],"increased":[114],"controlling":[116],"mean":[118],"value":[119],"of":[120],"spacing":[123],"location":[126],"unaware":[127]},"counts_by_year":[],"updated_date":"2026-03-21T06:30:42.041108","created_date":"2025-10-10T00:00:00"}
