{"id":"https://openalex.org/W2138787877","doi":"https://doi.org/10.1109/tsp.2011.2105480","title":"Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging","display_name":"Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging","publication_year":2011,"publication_date":"2011-01-13","ids":{"openalex":"https://openalex.org/W2138787877","doi":"https://doi.org/10.1109/tsp.2011.2105480","mag":"2138787877"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2105480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2105480","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/1003.2822","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046871680","display_name":"Ronen Tur","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Ronen Tur","raw_affiliation_strings":["Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","Dept. of Electr.Eng., Technion-Israel Inst. of Technol., Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Dept. of Electr.Eng., Technion-Israel Inst. of Technol., Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","Dept. of Electr.Eng., Technion-Israel Inst. of Technol., Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Dept. of Electr.Eng., Technion-Israel Inst. of Technol., Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028604674","display_name":"Zvi Friedman","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Zvi Friedman","raw_affiliation_strings":["Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","Dept. of Biomed. Eng., Technion - Israel Inst. of Technol., Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Technion - Israel Inst. of Technol., Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046871680"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":28.5207,"has_fulltext":false,"cited_by_count":293,"citation_normalized_percentile":{"value":0.99832983,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"59","issue":"4","first_page":"1827","last_page":"1842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9957000017166138,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9937000274658203,"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/robustness","display_name":"Robustness (evolution)","score":0.7179044485092163},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7164261341094971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199719905853271},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.519298255443573},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.4709167182445526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4627319574356079},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.458927184343338},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.4228639602661133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2744007706642151},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15479278564453125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1344161033630371},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.07587280869483948},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.07478231191635132}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7179044485092163},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7164261341094971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199719905853271},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.519298255443573},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.4709167182445526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4627319574356079},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.458927184343338},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.4228639602661133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2744007706642151},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15479278564453125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1344161033630371},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.07587280869483948},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07478231191635132},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2011.2105480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2105480","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:1003.2822","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1003.2822","pdf_url":"https://arxiv.org/pdf/1003.2822","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.415.4368","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.4368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://webee.technion.ac.il/people/YoninaEldar/111.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1003.2822","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1003.2822","pdf_url":"https://arxiv.org/pdf/1003.2822","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W388178990","https://openalex.org/W562372631","https://openalex.org/W1514558801","https://openalex.org/W1525535255","https://openalex.org/W1565383065","https://openalex.org/W1928873049","https://openalex.org/W1965392255","https://openalex.org/W1980300788","https://openalex.org/W2054243882","https://openalex.org/W2093404847","https://openalex.org/W2096504426","https://openalex.org/W2098662489","https://openalex.org/W2102701524","https://openalex.org/W2103300762","https://openalex.org/W2108634960","https://openalex.org/W2113638573","https://openalex.org/W2114129195","https://openalex.org/W2114548005","https://openalex.org/W2128131274","https://openalex.org/W2143168132","https://openalex.org/W2147276092","https://openalex.org/W2149213383","https://openalex.org/W2158537680","https://openalex.org/W2189093995","https://openalex.org/W2798766386","https://openalex.org/W2798909945","https://openalex.org/W3126588943","https://openalex.org/W3139866291","https://openalex.org/W4244633107","https://openalex.org/W4244779849","https://openalex.org/W4285719527","https://openalex.org/W6687076806"],"related_works":["https://openalex.org/W4293083682","https://openalex.org/W1502413331","https://openalex.org/W2061507057","https://openalex.org/W2392509758","https://openalex.org/W2355268223","https://openalex.org/W2057211638","https://openalex.org/W2952404111","https://openalex.org/W4230275079","https://openalex.org/W2349681020","https://openalex.org/W4300513038"],"abstract_inverted_index":{"Signals":[0],"comprised":[1],"of":[2,5,20,31,41,57,83,100,107,116,143],"a":[3,38,70,90,112,140],"stream":[4],"short":[6],"pulses":[7,33],"appear":[8],"in":[9,80],"many":[10,84],"applications":[11],"including":[12],"bioimaging":[13],"and":[14,128,131,166],"radar.":[15],"The":[16,121],"recent":[17],"finite":[18,127],"rate":[19,29,170],"innovation":[21],"framework,":[22],"has":[23],"paved":[24],"the":[25,81,93,104,152],"way":[26],"to":[27,48,76,126,134,174],"low":[28],"sampling":[30,60,72,94,177],"such":[32],"by":[34,88],"noticing":[35],"that":[36,168],"only":[37],"small":[39],"number":[40,106,142],"parameters":[42],"per":[43],"unit":[44],"time":[45],"are":[46,62,154],"needed":[47],"fully":[49],"describe":[50],"these":[51],"signals.":[52],"Unfortunately,":[53],"for":[54,139],"high":[55],"rates":[56],"innovation,":[58],"existing":[59],"schemes":[61,178],"numerically":[63,136],"unstable.":[64],"In":[65],"this":[66,119],"paper":[67],"we":[68,158],"propose":[69],"general":[71],"approach":[73],"which":[74,96],"leads":[75],"stable":[77,137],"recovery":[78],"even":[79,138],"presence":[82],"pulses.":[85,144],"We":[86,109],"begin":[87],"deriving":[89],"condition":[91],"on":[92],"kernel":[95],"allows":[97],"perfect":[98],"reconstruction":[99],"periodic":[101,122],"streams":[102,130],"from":[103],"minimal":[105],"samples.":[108],"then":[110],"design":[111],"compactly":[113],"supported":[114],"class":[115],"filters,":[117],"satisfying":[118],"condition.":[120],"solution":[123],"is":[124,132,148],"extended":[125],"infinite":[129],"shown":[133],"be":[135,180],"large":[141],"High":[145],"noise":[146],"robustness":[147],"also":[149],"demonstrated":[150],"when":[151],"delays":[153],"sufficiently":[155],"separated.":[156],"Finally,":[157],"process":[159],"ultrasound":[160,176],"imaging":[161],"data":[162],"using":[163],"our":[164],"techniques":[165],"show":[167],"substantial":[169],"reduction":[171],"with":[172],"respect":[173],"traditional":[175],"can":[179],"achieved.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":30},{"year":2014,"cited_by_count":23},{"year":2013,"cited_by_count":25},{"year":2012,"cited_by_count":17}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}