{"id":"https://openalex.org/W4410660728","doi":"https://doi.org/10.1109/access.2025.3570328","title":"On Novel RIP of Windowed Compressed Spectrum Sensing","display_name":"On Novel RIP of Windowed Compressed Spectrum Sensing","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410660728","doi":"https://doi.org/10.1109/access.2025.3570328"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3570328","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3570328","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3570328","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056870264","display_name":"Huiguang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiguang Zhang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-5656-2727","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102851281","display_name":"Baoguo Liu","orcid":"https://orcid.org/0000-0002-5534-9598"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoguo Liu","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378285","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0002-1507-5561"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36152291"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9257,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7029202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"92180","last_page":"92202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9890000224113464,"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":0.9890000224113464,"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":0.948199987411499,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9269999861717224,"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/computer-science","display_name":"Computer science","score":0.6521191596984863},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4944307804107666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3393562436103821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32236242294311523},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12642470002174377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6521191596984863},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4944307804107666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3393562436103821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32236242294311523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12642470002174377},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3570328","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3570328","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:135c6cdd82964ff6bf3e02d229f511ce","is_oa":true,"landing_page_url":"https://doaj.org/article/135c6cdd82964ff6bf3e02d229f511ce","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 92180-92202 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3570328","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3570328","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1274483211","display_name":"\u968f\u673a\u53c2\u6570\u8f6c\u5b50\u52a8\u529b\u5b66\u95ee\u9898\u7684\u7406\u8bba\u4e0e\u5b9e\u9a8c\u7814\u7a76","funder_award_id":"10872064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5665335141","display_name":"\u6a21\u578b\u4e0d\u786e\u5b9a\u8f6c\u5b50\u7cfb\u7edf\u7684\u975e\u53c2\u6570\u968f\u673a\u52a8\u529b\u5b66\u5efa\u6a21\u53ca\u5206\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"12072106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5948568220","display_name":null,"funder_award_id":"U2016054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1837471008","https://openalex.org/W1983115982","https://openalex.org/W1995875735","https://openalex.org/W2015418199","https://openalex.org/W2030449718","https://openalex.org/W2053171205","https://openalex.org/W2061888611","https://openalex.org/W2062385280","https://openalex.org/W2064322743","https://openalex.org/W2086972362","https://openalex.org/W2098996169","https://openalex.org/W2105842599","https://openalex.org/W2119499160","https://openalex.org/W2119667497","https://openalex.org/W2122217791","https://openalex.org/W2123457453","https://openalex.org/W2125680629","https://openalex.org/W2128840800","https://openalex.org/W2129131372","https://openalex.org/W2133285942","https://openalex.org/W2135127969","https://openalex.org/W2135780853","https://openalex.org/W2143168132","https://openalex.org/W2147205936","https://openalex.org/W2147276092","https://openalex.org/W2154199312","https://openalex.org/W2155384357","https://openalex.org/W2159268085","https://openalex.org/W2262664433","https://openalex.org/W2263719539","https://openalex.org/W2590894650","https://openalex.org/W2789260691","https://openalex.org/W2890531224","https://openalex.org/W2953852563","https://openalex.org/W2956101372","https://openalex.org/W2964325628","https://openalex.org/W2984049412","https://openalex.org/W3011808527","https://openalex.org/W3037582100","https://openalex.org/W3041326237","https://openalex.org/W3093203959","https://openalex.org/W3128096547","https://openalex.org/W3198839047","https://openalex.org/W4212767525","https://openalex.org/W4400408727","https://openalex.org/W6632586854","https://openalex.org/W6723418232"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Compressed":[0],"spectrum":[1,245],"sensing":[2,28,246],"(CSS)":[3],"offers":[4],"great":[5],"advantages":[6],"in":[7,43,77],"spectral":[8,24,45,140],"analysis":[9,46,141],"through":[10],"sub-Nyquist":[11],"sampling.":[12],"However,":[13],"conventional":[14,150],"CSS":[15,54,78,184],"approaches":[16],"have":[17,60],"not":[18,61],"sufficiently":[19],"addressed":[20],"the":[21,84,91,103,113,133,137,143,159],"effect":[22],"of":[23,94,118,139,145],"leakage":[25],"(SL)":[26],"on":[27,237],"performance,":[29],"a":[30,68,127],"problem":[31],"that":[32,130,163,201],"fundamentally":[33],"alters":[34],"signal":[35,146,170,190,222],"sparsity.":[36],"Although":[37],"WFs":[38,95,111,203,235],"(WFs)":[39],"are":[40],"widely":[41],"employed":[42],"traditional":[44],"to":[47,168],"mitigate":[48],"SL,":[49,206],"their":[50],"systematic":[51],"application":[52],"within":[53],"lacks":[55],"comprehensive":[56],"analysis,":[57],"and":[58,96,102,142,195,210,229,243],"they":[59],"been":[62],"theoretically":[63],"investigated.":[64],"This":[65,224],"study":[66],"develops":[67],"rigorous":[69],"theoretical":[70,227],"framework":[71,129,162],"for":[72,182,232],"analyzing":[73],"windowed":[74,183],"measurement":[75,119],"matrices":[76],"by":[79,153],"introducing":[80],"two":[81],"novel":[82],"metrics:":[83],"Edge":[85],"Zeroing":[86],"Coefficient":[87,106],"(EZC),":[88],"which":[89,108],"quantifies":[90],"boundary":[92],"behavior":[93],"directly":[97,164],"correlates":[98],"with":[99],"SL":[100],"suppression,":[101],"Window":[104],"Scaling":[105],"(WSC),":[107],"characterizes":[109,132],"how":[110],"affect":[112],"Restricted":[114],"Isometry":[115],"Property":[116],"(RIP)":[117],"matrices.":[120],"By":[121,173],"integrating":[122],"these":[123],"metrics,":[124],"we":[125,178],"formulate":[126],"dual-effects":[128],"quantitatively":[131],"inherent":[134],"trade-offs":[135],"between":[136],"accuracy":[138],"fidelity":[144],"reconstruction.":[147,223],"We":[148],"extend":[149],"block-sparsity":[151],"concepts":[152],"explicitly":[154],"incorporating":[155],"WF":[156],"characteristics,":[157],"providing":[158],"first":[160],"mathematical":[161],"links":[165],"window":[166],"properties":[167],"resulting":[169],"sparsity":[171],"patterns.":[172],"leveraging":[174],"subspace":[175],"counting":[176],"theory,":[177],"establish":[179],"sampling":[180],"bounds":[181],"under":[185],"various":[186],"conditions,":[187],"including":[188],"block-sparse":[189],"structures,":[191],"ultra-sparse":[192],"frequency":[193],"distributions,":[194],"noisy":[196],"environments.":[197],"Our":[198],"findings":[199],"demonstrate":[200],"although":[202],"effectively":[204],"reduce":[205],"excessively":[207],"low":[208],"EZC":[209],"WSC":[211],"values":[212],"can":[213],"degrade":[214],"RIP":[215],"quality,":[216],"potentially":[217],"causing":[218],"numerical":[219],"instability":[220],"during":[221],"research":[225],"provides":[226],"foundations":[228],"practical":[230],"guidelines":[231],"selecting":[233],"appropriate":[234],"based":[236],"application-specific":[238],"requirements,":[239],"enabling":[240],"more":[241],"accurate":[242],"efficient":[244],"across":[247],"diverse":[248],"domains.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}