{"id":"https://openalex.org/W2085835372","doi":"https://doi.org/10.1109/icassp.2014.6853615","title":"Time-frequency signature reconstruction from random observations using multiple measurement vectors","display_name":"Time-frequency signature reconstruction from random observations using multiple measurement vectors","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2085835372","doi":"https://doi.org/10.1109/icassp.2014.6853615","mag":"2085835372"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007661434","display_name":"Moeness G. Amin","orcid":"https://orcid.org/0000-0002-0926-4120"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moeness G. Amin","raw_affiliation_strings":["Center for Advanced Communications, Villanova University, Villanova, PA, USA","Center for Advanced Communication, Villanova University, Villanova, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, Villanova, PA, USA","institution_ids":["https://openalex.org/I7863295"]},{"raw_affiliation_string":"Center for Advanced Communication, Villanova University, Villanova, PA, USA","institution_ids":["https://openalex.org/I7863295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074195801","display_name":"Yimin D. Zhang","orcid":"https://orcid.org/0000-0002-4625-209X"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yimin D. Zhang","raw_affiliation_strings":["Center for Advanced Communications, Villanova University, Villanova, PA, USA","Center for Advanced Communication, Villanova University, Villanova, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, Villanova, PA, USA","institution_ids":["https://openalex.org/I7863295"]},{"raw_affiliation_string":"Center for Advanced Communication, Villanova University, Villanova, PA, USA","institution_ids":["https://openalex.org/I7863295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083050655","display_name":"Branka Jokanovi\u0107","orcid":"https://orcid.org/0000-0002-8140-7149"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Branka Jokanovic","raw_affiliation_strings":["Center for Advanced Communications, Villanova University, Villanova, PA, USA","Center for Advanced Communication, Villanova University, Villanova, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, Villanova, PA, USA","institution_ids":["https://openalex.org/I7863295"]},{"raw_affiliation_string":"Center for Advanced Communication, Villanova University, Villanova, PA, USA","institution_ids":["https://openalex.org/I7863295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7863295"],"apc_list":null,"apc_paid":null,"fwci":5.9301,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.96955802,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/spectrogram","display_name":"Spectrogram","score":0.6882756948471069},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.6705819368362427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.632240891456604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.589725136756897},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5599856972694397},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5474621653556824},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5237393379211426},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5081121921539307},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4493383765220642},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.41736841201782227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36519134044647217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35201403498649597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3020423650741577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1786048412322998},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.17738643288612366},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11100402474403381},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.10705116391181946}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6882756948471069},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.6705819368362427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.632240891456604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.589725136756897},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5599856972694397},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5474621653556824},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5237393379211426},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5081121921539307},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4493383765220642},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.41736841201782227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36519134044647217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35201403498649597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3020423650741577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1786048412322998},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.17738643288612366},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11100402474403381},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.10705116391181946},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2014.6853615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.708.4137","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.708.4137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://yiminzhang.com/pdf2/icassp14_mmv.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1528931216","https://openalex.org/W1598517949","https://openalex.org/W1959061666","https://openalex.org/W1991031161","https://openalex.org/W2006961489","https://openalex.org/W2047901865","https://openalex.org/W2067631298","https://openalex.org/W2096732023","https://openalex.org/W2103285140","https://openalex.org/W2106407813","https://openalex.org/W2117101257","https://openalex.org/W2119667497","https://openalex.org/W2126133656","https://openalex.org/W2135463676","https://openalex.org/W2135780853","https://openalex.org/W2145856765","https://openalex.org/W2147848580","https://openalex.org/W2149481914","https://openalex.org/W2150391795","https://openalex.org/W2151115803","https://openalex.org/W2152151529","https://openalex.org/W2157191299","https://openalex.org/W2164725201","https://openalex.org/W2165878107","https://openalex.org/W2242146578","https://openalex.org/W2296616510","https://openalex.org/W2511885285","https://openalex.org/W2625351208","https://openalex.org/W2971230710","https://openalex.org/W4250955649","https://openalex.org/W6674776011","https://openalex.org/W6682146327","https://openalex.org/W6690142141"],"related_works":["https://openalex.org/W1889291648","https://openalex.org/W2533590149","https://openalex.org/W335396218","https://openalex.org/W1504214173","https://openalex.org/W1600447354","https://openalex.org/W1589126043","https://openalex.org/W2035480840","https://openalex.org/W2064323827","https://openalex.org/W1947057263","https://openalex.org/W2355447608"],"abstract_inverted_index":{"A":[0],"new":[1],"approach":[2,99],"for":[3],"sparse":[4,33],"nonstationary":[5],"signal":[6,91],"reconstruction":[7,102],"based":[8],"on":[9],"multiple":[10,83],"windows":[11],"is":[12,94,109,112],"introduced.":[13],"Signals":[14],"which":[15,58],"are":[16],"localizable":[17],"in":[18,27,86],"the":[19,28,60,74,79,82,97],"time-frequency":[20,65,117],"(TF)":[21],"domain":[22],"give":[23],"rise":[24],"to":[25,36,42,114],"sparsity":[26],"same":[29],"domain.":[30],"When":[31],"combined,":[32],"reconstructions,":[34],"applied":[35,110],"randomly":[37],"sampled":[38],"data":[39],"and":[40,111],"corresponding":[41],"different":[43],"selected":[44],"windows,":[45,54],"provide":[46],"enhanced":[47],"TF":[48,71],"signature":[49],"estimation.":[50],"Among":[51],"possible":[52],"orthogonal":[53],"we":[55],"consider":[56],"those":[57],"characterize":[59],"eigen-decomposition":[61],"of":[62,73,81,88,119],"reduced-interference":[63],"quadratic":[64],"distribution":[66],"kernels.":[67],"The":[68],"highly":[69],"overlapping":[70],"support":[72],"windows'":[75],"full-data":[76],"spectrograms":[77],"inspires":[78],"use":[80],"measurement":[84],"vectors,":[85],"lieu":[87],"individual":[89],"windowed":[90],"recovery.":[92],"It":[93],"shown":[95],"that":[96],"proposed":[98],"outperforms":[100],"other":[101],"methods":[103],"when":[104],"only":[105],"a":[106],"single":[107],"window":[108],"superior":[113],"reduced":[115],"interference":[116],"distributions":[118],"random":[120],"observations.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}