{"id":"https://openalex.org/W4411688877","doi":"https://doi.org/10.1109/ict65093.2025.11046227","title":"Adaptive Compressive Sensing for Reconstruction and Denoising with Sparsity-Measure-Driven Sampling","display_name":"Adaptive Compressive Sensing for Reconstruction and Denoising with Sparsity-Measure-Driven Sampling","publication_year":2025,"publication_date":"2025-04-28","ids":{"openalex":"https://openalex.org/W4411688877","doi":"https://doi.org/10.1109/ict65093.2025.11046227"},"language":"en","primary_location":{"id":"doi:10.1109/ict65093.2025.11046227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict65093.2025.11046227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 31st International Conference on Telecommunications (ICT)","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/A5008717709","display_name":"Andjela Dragani\u0107","orcid":"https://orcid.org/0000-0002-6642-9411"},"institutions":[{"id":"https://openalex.org/I5936373","display_name":"University of Montenegro","ror":"https://ror.org/02drrjp49","country_code":"ME","type":"education","lineage":["https://openalex.org/I5936373"]}],"countries":["ME"],"is_corresponding":false,"raw_author_name":"Andjela Dragani\u0107","raw_affiliation_strings":["University of Montenegro,Faculty of Electrical Engineering,Podgorica,Montenegro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Montenegro,Faculty of Electrical Engineering,Podgorica,Montenegro","institution_ids":["https://openalex.org/I5936373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113340107","display_name":"Djordje Stankovi\u0107","orcid":"https://orcid.org/0009-0004-5717-587X"},"institutions":[{"id":"https://openalex.org/I5936373","display_name":"University of Montenegro","ror":"https://ror.org/02drrjp49","country_code":"ME","type":"education","lineage":["https://openalex.org/I5936373"]}],"countries":["ME"],"is_corresponding":false,"raw_author_name":"Djordje Stankovi\u0107","raw_affiliation_strings":["University of Montenegro,Faculty of Electrical Engineering,Podgorica,Montenegro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Montenegro,Faculty of Electrical Engineering,Podgorica,Montenegro","institution_ids":["https://openalex.org/I5936373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040820453","display_name":"Cornel Ioana","orcid":"https://orcid.org/0000-0001-6581-3000"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cornel Ioana","raw_affiliation_strings":["Grenoble Institute of Technology,GIPSA-lab,Grenoble,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grenoble Institute of Technology,GIPSA-lab,Grenoble,France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027769646","display_name":"Irena Orovi\u0107","orcid":"https://orcid.org/0000-0002-1752-9053"},"institutions":[{"id":"https://openalex.org/I5936373","display_name":"University of Montenegro","ror":"https://ror.org/02drrjp49","country_code":"ME","type":"education","lineage":["https://openalex.org/I5936373"]}],"countries":["ME"],"is_corresponding":false,"raw_author_name":"Irena Orovi\u0107","raw_affiliation_strings":["University of Montenegro,Faculty of Electrical Engineering,Podgorica,Montenegro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Montenegro,Faculty of Electrical Engineering,Podgorica,Montenegro","institution_ids":["https://openalex.org/I5936373"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12076392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9937000274658203,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7547630071640015},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7093831300735474},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6137304306030273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5702149271965027},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4780890643596649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4768589437007904},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.41269451379776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41248393058776855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35151582956314087},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2615436017513275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25771892070770264},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20535287261009216}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7547630071640015},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7093831300735474},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6137304306030273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5702149271965027},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4780890643596649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4768589437007904},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.41269451379776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41248393058776855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35151582956314087},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2615436017513275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25771892070770264},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20535287261009216},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ict65093.2025.11046227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict65093.2025.11046227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 31st International Conference on Telecommunications (ICT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1553525389","https://openalex.org/W1983465295","https://openalex.org/W2126109330","https://openalex.org/W2133004511","https://openalex.org/W2136411979","https://openalex.org/W2140050868","https://openalex.org/W2606401594","https://openalex.org/W2893091917","https://openalex.org/W2962959174","https://openalex.org/W3204940294","https://openalex.org/W4205154923","https://openalex.org/W4285233649","https://openalex.org/W4312967804","https://openalex.org/W4317698318","https://openalex.org/W4385874920","https://openalex.org/W4388040519","https://openalex.org/W4403289375","https://openalex.org/W4403675838","https://openalex.org/W4404733691"],"related_works":["https://openalex.org/W2038693912","https://openalex.org/W1991602789","https://openalex.org/W1582396021","https://openalex.org/W1988359706","https://openalex.org/W312558119","https://openalex.org/W4210985407","https://openalex.org/W2335441444","https://openalex.org/W138014004","https://openalex.org/W2075598034","https://openalex.org/W2984441180"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3,17],"compressive":[4],"sensing-based":[5],"approach":[6,22,73],"for":[7,54,97],"adaptive":[8,101],"reconstruction":[9],"and":[10,100],"denoising":[11],"of":[12,31],"wireless":[13,105],"signals.":[14],"By":[15],"employing":[16],"dynamic":[18],"sampling":[19,25],"strategy,":[20],"the":[21,24,29,32,38,55,77,90],"adjusts":[23],"rate":[26],"according":[27],"to":[28,45,60,86],"complexity":[30],"signal":[33,78],"region,":[34],"as":[35],"determined":[36],"by":[37,69],"<tex>$\\ell_{1}$</tex>-norm":[39],"-":[40],"more":[41],"samples":[42,51],"are":[43,52],"used":[44,53],"reconstruct":[46],"occupied":[47,57],"regions":[48],"while":[49],"less":[50,56],"ones.":[58],"Applied":[59],"multiple,":[61],"overlapping":[62],"frequency":[63],"hopping":[64],"spread":[65],"spectrum":[66,102],"signals":[67],"corrupted":[68],"Gaussian":[70],"noise,":[71],"this":[72],"not":[74],"only":[75],"recover":[76],"but":[79],"also":[80],"helps":[81],"in":[82,89,104],"noise":[83],"reduction,":[84],"leading":[85],"an":[87],"improvement":[88],"signal-to-noise":[91],"ratio.":[92],"Results":[93],"highlight":[94],"its":[95],"potential":[96],"interference":[98],"mitigation":[99],"management":[103],"systems.":[106]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
