{"id":"https://openalex.org/W2053010054","doi":"https://doi.org/10.1109/tsp.2015.2415760","title":"Compressive Temporal Higher Order Cyclostationary Statistics","display_name":"Compressive Temporal Higher Order Cyclostationary Statistics","publication_year":2015,"publication_date":"2015-03-23","ids":{"openalex":"https://openalex.org/W2053010054","doi":"https://doi.org/10.1109/tsp.2015.2415760","mag":"2053010054"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2015.2415760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2415760","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1410.7967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012347477","display_name":"Chia Wei Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chia Wei Lim","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Colorado School of Mines","Dept. of Electrical Engineering and Computer Science, Colorado School of Mines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Colorado School of Mines","institution_ids":["https://openalex.org/I167576493"]},{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Colorado School of Mines","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065207980","display_name":"Michael B. Wakin","orcid":"https://orcid.org/0000-0002-2165-4586"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael B. Wakin","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Colorado School of Mines","Dept. of Electrical Engineering and Computer Science, Colorado School of Mines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Colorado School of Mines","institution_ids":["https://openalex.org/I167576493"]},{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Colorado School of Mines","institution_ids":["https://openalex.org/I167576493"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167576493"],"apc_list":null,"apc_paid":null,"fwci":3.5553,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92040124,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"63","issue":"11","first_page":"2942","last_page":"2956"},"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/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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cyclostationary-process","display_name":"Cyclostationary process","score":0.9774315357208252},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5720822811126709},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5686852931976318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5240849852561951},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5214638113975525},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5049427151679993},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5000965595245361},{"id":"https://openalex.org/keywords/higher-order-statistics","display_name":"Higher-order statistics","score":0.473862886428833},{"id":"https://openalex.org/keywords/bandlimiting","display_name":"Bandlimiting","score":0.466969758272171},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4665142297744751},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4565013349056244},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44188961386680603},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4216720461845398},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.4210509955883026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3606629967689514},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33621910214424133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2340089976787567},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15875861048698425},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.13748064637184143},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11012420058250427},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08259007334709167}],"concepts":[{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.9774315357208252},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5720822811126709},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5686852931976318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5240849852561951},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5214638113975525},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5049427151679993},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5000965595245361},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.473862886428833},{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.466969758272171},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4665142297744751},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4565013349056244},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44188961386680603},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4216720461845398},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.4210509955883026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3606629967689514},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33621910214424133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2340089976787567},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15875861048698425},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.13748064637184143},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11012420058250427},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08259007334709167},{"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/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2015.2415760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2415760","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1410.7967","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.7967","pdf_url":"https://arxiv.org/pdf/1410.7967","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1410.7967","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.7967","pdf_url":"https://arxiv.org/pdf/1410.7967","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1527294551","https://openalex.org/W1564490639","https://openalex.org/W2008374492","https://openalex.org/W2012589467","https://openalex.org/W2015234197","https://openalex.org/W2015418199","https://openalex.org/W2016720185","https://openalex.org/W2034470681","https://openalex.org/W2045036537","https://openalex.org/W2053010054","https://openalex.org/W2055064119","https://openalex.org/W2064341499","https://openalex.org/W2103192447","https://openalex.org/W2120961178","https://openalex.org/W2125716945","https://openalex.org/W2129751202","https://openalex.org/W2133565934","https://openalex.org/W2134474909","https://openalex.org/W2145096794","https://openalex.org/W2147987647","https://openalex.org/W2154511091","https://openalex.org/W2164668136","https://openalex.org/W2165670531","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2952175635","https://openalex.org/W4250955649","https://openalex.org/W6633564835","https://openalex.org/W6661772849"],"related_works":["https://openalex.org/W2726348405","https://openalex.org/W2972674561","https://openalex.org/W2092748845","https://openalex.org/W1593767952","https://openalex.org/W2116115216","https://openalex.org/W2130532468","https://openalex.org/W2392074140","https://openalex.org/W2057385319","https://openalex.org/W2103131638","https://openalex.org/W1986528019"],"abstract_inverted_index":{"The":[0,29],"application":[1],"of":[2,12,50,70,115],"nonlinear":[3],"transformations":[4],"to":[5,18,36,82],"a":[6,97],"cyclostationary":[7,85],"signal":[8,24,86],"for":[9,21,59,100],"the":[10,32,44,48,68,84,92,104,113],"purpose":[11],"revealing":[13],"hidden":[14,33],"periodicities":[15],"has":[16],"proven":[17],"be":[19],"useful":[20],"applications":[22],"requiring":[23],"selectivity":[25],"and":[26,111],"noise":[27],"tolerance.":[28],"fact":[30],"that":[31],"periodicities,":[34],"referred":[35],"as":[37,54],"cyclic":[38,89],"moments,":[39],"are":[40],"often":[41],"compressible":[42,88],"in":[43,91],"Fourier":[45,93],"domain":[46],"motivates":[47],"use":[49],"compressive":[51],"sensing":[52],"(CS)":[53],"an":[55],"efficient":[56],"acquisition":[57],"protocol":[58,108],"capturing":[60],"such":[61],"signals.":[62],"In":[63],"this":[64,116],"paper,":[65],"we":[66],"consider":[67],"class":[69],"Temporal":[71],"Higher":[72],"Order":[73],"Cyclostationary":[74],"Statistics":[75],"(THOCS)":[76],"estimators":[77],"when":[78],"CS":[79,110],"is":[80],"used":[81],"acquire":[83],"assuming":[87],"moments":[90],"domain.":[94],"We":[95],"develop":[96],"theoretical":[98],"framework":[99,117],"estimating":[101],"THOCS":[102],"using":[103,118],"low-rate":[105],"nonuniform":[106],"sampling":[107],"from":[109],"illustrate":[112],"performance":[114],"simulated":[119],"data.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2016-06-24T00:00:00"}
