{"id":"https://openalex.org/W2154890607","doi":"https://doi.org/10.1109/acssc.2008.5074390","title":"Communication-inspired sensing","display_name":"Communication-inspired sensing","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2154890607","doi":"https://doi.org/10.1109/acssc.2008.5074390","mag":"2154890607"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2008.5074390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2008.5074390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 42nd Asilomar Conference on Signals, Systems and Computers","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/A5028331453","display_name":"Wenshu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenshu Zhang","raw_affiliation_strings":["Department of ECE, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089217677","display_name":"Liuqing Yang","orcid":"https://orcid.org/0000-0003-0231-6837"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liuqing Yang","raw_affiliation_strings":["Department of ECE, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":19.241,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.98811179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9939000010490417,"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/waveform","display_name":"Waveform","score":0.6298533082008362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6060379147529602},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5585151314735413},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5577265024185181},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5441729426383972},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.5326157808303833},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.513929545879364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46981576085090637},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4375340938568115},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.43545836210250854},{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.4329306483268738},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.4253646433353424},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39276936650276184},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.35083460807800293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3388817608356476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32209667563438416},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2759284973144531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1962619125843048}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6298533082008362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6060379147529602},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5585151314735413},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5577265024185181},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5441729426383972},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.5326157808303833},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.513929545879364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46981576085090637},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4375340938568115},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.43545836210250854},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.4329306483268738},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.4253646433353424},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39276936650276184},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.35083460807800293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3388817608356476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32209667563438416},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2759284973144531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1962619125843048},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2008.5074390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2008.5074390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 42nd Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-158862","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-158862","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2080768413","https://openalex.org/W2100233713","https://openalex.org/W2112014171","https://openalex.org/W2116908391","https://openalex.org/W2137632745","https://openalex.org/W2154890607","https://openalex.org/W2156576615","https://openalex.org/W2171879683"],"related_works":["https://openalex.org/W2349980442","https://openalex.org/W2790395016","https://openalex.org/W2607263052","https://openalex.org/W2568148104","https://openalex.org/W2071543241","https://openalex.org/W2147481109","https://openalex.org/W1973144160","https://openalex.org/W2014204621","https://openalex.org/W3124771927","https://openalex.org/W2889643344"],"abstract_inverted_index":{"Information":[0],"theory,":[1],"and":[2,52,81,88,117,127,134,152,158,177],"particularly":[3],"the":[4,16,26,32,41,45,50,54,63,73,76,102,108,113,124,128,143,149,163,170,175],"mutual":[5],"information":[6],"(MI)":[7],"has":[8],"provided":[9],"fundamental":[10],"guidance":[11],"for":[12,93,122],"communications":[13],"research.":[14],"In,":[15],"MI":[17,30,51,80,87],"was":[18],"first":[19],"applied":[20],"to":[21,82,161],"radar":[22],"waveform":[23,145],"design.":[24],"However,":[25],"practical":[27,77],"meaning":[28,78],"of":[29,75,79],"in":[31],"sensing":[33],"context":[34],"remains":[35],"unclear.":[36],"Recently,":[37],"shows":[38],"that":[39],"under":[40,131],"white":[42],"noise":[43,135,178],"assumption,":[44],"water-filling":[46],"scheme":[47],"simultaneously":[48],"maximizes":[49],"minimizes":[53],"minimum":[55],"MSE":[56,91,115],"(MMSE).":[57],"Such":[58],"an":[59],"equivalence":[60],"disappears":[61],"when":[62,174],"target":[64,103,133,176],"parameter":[65],"statistics":[66,179],"are":[67,155,180],"not":[68,181],"perfectly":[69,182],"known.":[70,183],"To":[71],"further":[72],"understanding":[74],"establish":[83],"a":[84,98],"connection":[85],"between":[86],"commonly":[89],"adopted":[90],"measures":[92],"sensing,":[94],"this":[95],"paper":[96],"takes":[97],"fresh":[99],"look":[100],"at":[101],"estimation":[104],"problem,":[105],"by":[106],"considering":[107],"general":[109],"colored":[110],"noise,":[111],"incorporating":[112],"normalized":[114],"(NMSE),":[116],"establishing":[118],"joint":[119],"robust":[120],"designs":[121,146,165],"both":[123],"transmitter":[125],"(waveforms)":[126],"receiver":[129],"(estimator)":[130],"various":[132],"uncertainty":[136],"levels.":[137],"Our":[138],"results":[139],"show":[140],"that:":[141],"i)":[142],"optimum":[144],"resulted":[147],"from":[148],"MI,":[150],"MMSE":[151],"NMSE":[153],"criteria":[154],"all":[156],"different;":[157],"ii)":[159],"compared":[160],"MMSE,":[162],"NMSE-based":[164],"share":[166],"more":[167],"similarities":[168],"with":[169],"MI-based":[171],"ones,":[172],"especially":[173]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}