{"id":"https://openalex.org/W2612338913","doi":"https://doi.org/10.1109/isit.2017.8006735","title":"Compressive estimation of a stochastic process with unknown autocorrelation function","display_name":"Compressive estimation of a stochastic process with unknown autocorrelation function","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2612338913","doi":"https://doi.org/10.1109/isit.2017.8006735","mag":"2612338913"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8006735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1705.03420","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033690165","display_name":"Mahdi Barzegar Khalilsarai","orcid":"https://orcid.org/0000-0003-0579-0200"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mahdi Barzegar Khalilsarai","raw_affiliation_strings":["Department of Computer Science and Information Systems, Birla Institute of Technology and Science Pilani, Rajasthan, India","Department of Computer Science & Information Systems, Birla Institute of Technology & Science, Pilani Rajasthan, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, Birla Institute of Technology and Science Pilani, Rajasthan, India","institution_ids":["https://openalex.org/I74796645"]},{"raw_affiliation_string":"Department of Computer Science & Information Systems, Birla Institute of Technology & Science, Pilani Rajasthan, India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034537543","display_name":"Saeid Haghighatshoar","orcid":"https://orcid.org/0000-0002-9063-3105"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Saeid Haghighatshoar","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058252389","display_name":"Giuseppe Caire","orcid":"https://orcid.org/0000-0002-7749-1333"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giuseppe Caire","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044286247","display_name":"Gerhard Wunder","orcid":"https://orcid.org/0009-0001-0850-8816"},"institutions":[{"id":"https://openalex.org/I75951250","display_name":"Freie Universit\u00e4t Berlin","ror":"https://ror.org/046ak2485","country_code":"DE","type":"education","lineage":["https://openalex.org/I75951250"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Wunder","raw_affiliation_strings":["Freie Universit\u00e4t Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Freie Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I75951250"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033690165"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":0.1869,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42580822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1282","last_page":"1286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.8212330341339111},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7259958982467651},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.6412532329559326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6216416358947754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5252285003662109},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5093196630477905},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.4789755344390869},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4307023882865906},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.411638081073761},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40473467111587524},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34734445810317993},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09536460041999817}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8212330341339111},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7259958982467651},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.6412532329559326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6216416358947754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5252285003662109},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5093196630477905},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.4789755344390869},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4307023882865906},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.411638081073761},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40473467111587524},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34734445810317993},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09536460041999817},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/isit.2017.8006735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1705.03420","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.03420","pdf_url":"https://arxiv.org/pdf/1705.03420","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2612338913","is_oa":true,"landing_page_url":"https://www.arxiv.org/pdf/1705.03420","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1705.03420","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1705.03420","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1705.03420","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.03420","pdf_url":"https://arxiv.org/pdf/1705.03420","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2612338913.pdf","grobid_xml":"https://content.openalex.org/works/W2612338913.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W599939251","https://openalex.org/W1594563152","https://openalex.org/W2013448945","https://openalex.org/W2028191993","https://openalex.org/W2128131274","https://openalex.org/W2149819557","https://openalex.org/W2167077875","https://openalex.org/W2488265751","https://openalex.org/W2560891869","https://openalex.org/W2565293665","https://openalex.org/W2964325628","https://openalex.org/W3124617746","https://openalex.org/W4388297583"],"related_works":["https://openalex.org/W1413520707","https://openalex.org/W2515584087","https://openalex.org/W2065079056","https://openalex.org/W2169877842","https://openalex.org/W2500384293","https://openalex.org/W2182784045","https://openalex.org/W38589319","https://openalex.org/W1579461158","https://openalex.org/W3104830344","https://openalex.org/W2921241207","https://openalex.org/W2996303484","https://openalex.org/W2485040398","https://openalex.org/W1980159795","https://openalex.org/W2183934383","https://openalex.org/W2914579633","https://openalex.org/W1875196825","https://openalex.org/W3143175906","https://openalex.org/W3121479933","https://openalex.org/W2025123706","https://openalex.org/W2182746064"],"abstract_inverted_index":{"In":[0,71,111],"this":[1,112,201],"paper,":[2,113],"we":[3,114,157,190],"study":[4],"the":[5,46,51,57,61,85,90,94,104,107,123,128,131,149,159,170,176,185,194,211],"prediction":[6,98],"of":[7,18,21,34,56,84,106,127,130,139,148,163,184,210],"a":[8,16,27,31,77,116,124,145,154,164,181,204],"circularly":[9],"symmetric":[10],"zero-mean":[11],"stationary":[12,165],"Gaussian":[13,166],"process":[14,58,86,108,132],"from":[15],"window":[17],"observations":[19],"consisting":[20],"finitely":[22],"many":[23],"samples.":[24,96],"This":[25],"is":[26,59,68,74,109],"prevalent":[28],"problem":[29],"in":[30,36,93],"wide":[32],"range":[33],"applications":[35],"communication":[37],"theory":[38],"and":[39,133],"signal":[40],"processing.":[41],"Due":[42],"to":[43,175,179,192],"stationarity,":[44],"when":[45,103],"autocorrelation":[47,83],"function":[48],"or":[49],"equivalently":[50],"power":[52,92],"spectral":[53,161],"density":[54],"(PSD)":[55],"available,":[60],"Minimum":[62],"Mean":[63],"Squared":[64],"Error":[65],"(MMSE)":[66],"predictor":[67,118,142],"readily":[69],"obtained.":[70],"particular,":[72],"it":[73],"given":[75],"by":[76],"linear":[78],"operator":[79],"that":[80,119,138,143,200,209],"depends":[81],"on":[82],"as":[87,89],"well":[88],"noise":[91],"observed":[95,177],"The":[97],"becomes,":[99],"however,":[100],"quite":[101],"challenging":[102],"PSD":[105,129],"unknown.":[110],"propose":[115],"blind":[117,155],"does":[120],"not":[121],"require":[122],"priori":[125],"knowledge":[126,147],"compare":[134],"its":[135],"performance":[136,206],"with":[137,208],"an":[140],"MMSE":[141,212],"has":[144,203],"full":[146],"PSD.":[150],"To":[151],"design":[152],"such":[153],"predictor,":[156],"use":[158,191],"random":[160,187],"representation":[162],"process.":[167,195],"We":[168],"apply":[169],"well-known":[171],"atomic-norm":[172],"minimization":[173],"technique":[174],"samples":[178],"obtain":[180],"discrete":[182],"quantization":[183],"underlying":[186],"spectrum,":[188],"which":[189],"predict":[193],"Our":[196],"simulation":[197],"results":[198],"show":[199],"estimator":[202],"good":[205],"comparable":[207],"estimator.":[213]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
