{"id":"https://openalex.org/W857230365","doi":"https://doi.org/10.25911/5d7396db42df5","title":"Methods to reduce perturbation effects in compressive sampling","display_name":"Methods to reduce perturbation effects in compressive sampling","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W857230365","doi":"https://doi.org/10.25911/5d7396db42df5","mag":"857230365"},"language":"en","primary_location":{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/11457","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/11457","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis (PhD)"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.25911/5d7396db42df5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084419988","display_name":"Daniel H. Chae","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chae, Daniel H","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5084419988"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"compressed sensing","score":0.9789999723434448},{"id":"https://openalex.org/keywords/sparse-signal-recovery","display_name":"sparse signal recovery","score":0.7549999952316284},{"id":"https://openalex.org/keywords/additive-disturbances","display_name":"additive disturbances","score":0.7860000133514404},{"id":"https://openalex.org/keywords/multiplicative-perturbation","display_name":"multiplicative perturbation","score":0.9959999918937683},{"id":"https://openalex.org/keywords/diversity-gain","display_name":"diversity gain","score":0.9480000138282776},{"id":"https://openalex.org/keywords/basis-mismatch","display_name":"basis mismatch","score":0.6420000195503235},{"id":"https://openalex.org/keywords/doppler-frequency-offset","display_name":"Doppler frequency offset","score":0.7739999890327454},{"id":"https://openalex.org/keywords/wireless-fading-channels","display_name":"wireless fading channels","score":0.5879999995231628},{"id":"https://openalex.org/keywords/spectrum-sensing","display_name":"spectrum sensing","score":0.8399999737739563},{"id":"https://openalex.org/keywords/sparse-signal-acquisition","display_name":"sparse signal acquisition","score":0.7289999723434448}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4632144570350647},{"id":"https://openalex.org/C30407753","wikidata":"https://www.wikidata.org/wiki/Q186191","display_name":"Compressive strength","level":2,"score":0.453104704618454},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.42420536279678345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37781572341918945},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2768079340457916},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.25235307216644287},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.1591721773147583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15876725316047668},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/11457","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/11457","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis (PhD)"},{"id":"mag:857230365","doi":null,"is_oa":false,"landing_page_url":"https://openresearch-repository.anu.edu.au/bitstream/1885/11457/1/Chae_D_2013.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"doi:10.25911/5d7396db42df5","doi":"https://doi.org/10.25911/5d7396db42df5","is_oa":true,"landing_page_url":"https://doi.org/10.25911/5d7396db42df5","pdf_url":null,"source":{"id":"https://openalex.org/S7407050548","display_name":"The Australian National University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Other"}],"best_oa_location":{"id":"doi:10.25911/5d7396db42df5","doi":"https://doi.org/10.25911/5d7396db42df5","is_oa":true,"landing_page_url":"https://doi.org/10.25911/5d7396db42df5","pdf_url":null,"source":{"id":"https://openalex.org/S7407050548","display_name":"The Australian National University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Other"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1967837059","https://openalex.org/W7097123388","https://openalex.org/W1987083008","https://openalex.org/W2492607349","https://openalex.org/W2086419783","https://openalex.org/W2741897461","https://openalex.org/W2133285942","https://openalex.org/W2899959691","https://openalex.org/W1951310686","https://openalex.org/W2038103867"],"abstract_inverted_index":{"With":[0],"compressive":[1],"sampling":[2],"(CS),":[3],"few":[4],"measurements":[5,227],"or":[6],"samples":[7],"will":[8,158,212],"be":[9,20,37,52,77,87,179,415],"enough":[10],"for":[11,309,352],"signal":[12,18,104,116,138,156,220,355,394,408],"reconstruction":[13,282],"as":[14,16,63,146,201],"long":[15],"the":[17,27,45,92,95,103,136,143,161,164,170,187,205,215,218,261,274,285,298,310,313,327,330,336,340,346,353,360,363,367,380,387,397],"can":[19,36,51,76],"represented":[21],"in":[22,34,73,142,239,296,329,385,400,417],"a":[23,133,147,202,240,256,373,412],"basis":[24,139,304],"domain":[25],"and":[26,57,140,145,175,279,334,357,425],"coefficients":[28],"are":[29,114,193,403],"sparse.":[30],"Fortunately,":[31],"many":[32],"signals":[33,248],"nature":[35],"expressed":[38],"with":[39,228],"sparse":[40,354],"bases.":[41],"However,":[42,251],"there":[43,113,125],"arise":[44,123],"CS":[46,81,349,419],"problems":[47,121],"of":[48,94,155,208,217,232,276,312,348,362,382,390],"perturbations":[49,177,192,392],"which":[50],"broadly":[53],"classified":[54],"into":[55],"additive":[56,60,64,96,174,206,424],"multiplicative.":[58],"The":[59],"perturbation":[61,97,130,207,365],"such":[62],"white":[65],"Gaussian":[66],"noise":[67,72,111,150,162,216,245,286],"(AWGN)":[68],"inevitably":[69],"incurs":[70],"recovery":[71,299],"general,":[74],"but":[75],"more":[78],"serious":[79,120],"if":[80,112],"is":[82,151,199,236,270,294,307,343,366],"used.":[83],"Signal":[84],"power":[85,157],"should":[86,178],"sufficiently":[88],"large":[89],"compared":[90],"to":[91,98,185,243,259,273,283,339,345,406,414],"amount":[93],"apply":[99],"CS.":[100,209],"Simply":[101],"increasing":[102],"power,":[105],"however,":[106],"may":[107,122,131],"incur":[108],"additional":[109],"interference":[110],"multiple":[115,230],"sources.":[117],"Furthermore,":[118,288],"another":[119],"when":[124],"exist":[126],"multiplicative":[127,165,176,317,364,391,426],"perturbations.":[128,427],"Multiplicative":[129],"cause":[132],"mismatch":[134,328],"between":[135],"assumed":[137],"that":[141,421],"measurements,":[144],"result,":[148],"signal-dependent":[149],"generated.":[152],"Therefore,":[153],"boosting":[154],"also":[159,271],"increase":[160],"from":[163,173,190,225,249,316,423],"perturbation.":[166,318,341],"To":[167],"use":[168],"CS,":[169],"adverse":[171,188,314,388],"effects":[172,189,315,389],"reduced.":[180],"In":[181],"this":[182,383,401],"thesis,":[183],"methods":[184,399],"alleviate":[186],"these":[191],"suggested.":[194],"Firstly,":[195],"diversified-CS":[196],"(dCS)":[197],"method":[198,211,253,293,306,320],"introduced":[200,371,405],"remedy":[203],"against":[204],"This":[210,268,319],"cut":[213],"down":[214],"recovered":[219],"by":[221,246,264,372],"extracting":[222],"diversity":[223,262],"gain":[224,263],"given":[226],"virtual":[229,266],"branches":[231],"recovery.":[233,395],"Diversity":[234],"technique":[235,269],"commonly":[237],"used":[238,416],"wireless":[241,350,374,407],"receiver":[242,351],"reduce":[244],"combining":[247],"multi-sensors.":[250],"dCS":[252,292],"uses":[254],"only":[255],"single":[257],"sensor":[258],"extract":[260],"building":[265],"branches.":[267],"applied":[272,344],"applications":[275,420],"spectrum":[277],"sensing":[278],"spherical":[280],"harmonics":[281],"demonstrate":[284],"reduction.":[287],"simulation":[289],"results":[290,378],"verify":[291],"effective":[295],"reducing":[297],"noise.":[300],"Secondly,":[301],"an":[302],"iterative":[303],"refinement":[305],"suggested":[308],"reduction":[311],"determines":[321],"active":[322,332],"bases":[323,337],"(initially":[324],"blindly),":[325],"estimates":[326],"identified":[331],"bases,":[333],"adjusts":[335],"according":[338],"It":[342],"application":[347],"acquisition":[356],"reconstruction,":[358],"where":[359],"source":[361],"Doppler":[368],"frequency":[369],"offset":[370],"fading":[375],"channel.":[376],"Simulation":[377],"corroborate":[379],"effectiveness":[381],"algorithm":[384],"suppressing":[386],"on":[393],"Although":[396],"proposed":[398],"thesis":[402],"mainly":[404],"applications,":[409],"it":[410],"has":[411],"potential":[413],"other":[418],"suffer":[422]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2016-06-24T00:00:00"}
