{"id":"https://openalex.org/W2047932983","doi":"https://doi.org/10.1109/infocom.2014.6848169","title":"GHz-wide sensing and decoding using the sparse Fourier transform","display_name":"GHz-wide sensing and decoding using the sparse Fourier transform","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2047932983","doi":"https://doi.org/10.1109/infocom.2014.6848169","mag":"2047932983"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2014.6848169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2014.6848169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2014 - IEEE Conference on Computer Communications","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/A5068150550","display_name":"Haitham Hassanieh","orcid":"https://orcid.org/0009-0004-9242-3269"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haitham Hassanieh","raw_affiliation_strings":["Massachusetts Institute of Technology","Massachusetts Institute of Technology; ,; Cambridge MA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology; ,; Cambridge MA USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082931971","display_name":"Lixin Shi","orcid":"https://orcid.org/0000-0003-0485-7928"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lixin Shi","raw_affiliation_strings":["Massachusetts Institute of Technology","Massachusetts Institute of Technology; ,; Cambridge MA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology; ,; Cambridge MA USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065134796","display_name":"Omid Abari","orcid":"https://orcid.org/0000-0001-8218-6301"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omid Abari","raw_affiliation_strings":["Massachusetts Institute of Technology","Massachusetts Institute of Technology; ,; Cambridge MA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology; ,; Cambridge MA USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022838088","display_name":"Ezzeldin Hamed","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ezzeldin Hamed","raw_affiliation_strings":["Massachusetts Institute of Technology","Massachusetts Institute of Technology; ,; Cambridge MA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology; ,; Cambridge MA USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052959289","display_name":"Dina Katabi","orcid":"https://orcid.org/0000-0003-4854-4157"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dina Katabi","raw_affiliation_strings":["Massachusetts Institute of Technology","Massachusetts Institute of Technology; ,; Cambridge MA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology; ,; Cambridge MA USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.8454,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.99456692,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2256","last_page":"2264"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7201557159423828},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6758882999420166},{"id":"https://openalex.org/keywords/software-defined-radio","display_name":"Software-defined radio","score":0.6593837141990662},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.6285505890846252},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.527866780757904},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5226861238479614},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.44184327125549316},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4323458671569824},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.431325227022171},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.43118932843208313},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.41797730326652527},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39835500717163086},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.30737608671188354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13342568278312683},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10544705390930176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08847332000732422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201557159423828},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6758882999420166},{"id":"https://openalex.org/C171115542","wikidata":"https://www.wikidata.org/wiki/Q1331892","display_name":"Software-defined radio","level":2,"score":0.6593837141990662},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.6285505890846252},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.527866780757904},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5226861238479614},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.44184327125549316},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4323458671569824},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.431325227022171},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43118932843208313},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.41797730326652527},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39835500717163086},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.30737608671188354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13342568278312683},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10544705390930176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08847332000732422},{"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infocom.2014.6848169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2014.6848169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2014 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.645.8847","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.645.8847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.csail.mit.edu/haitham/Papers/bigband_infocom.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1501755821","https://openalex.org/W1566832690","https://openalex.org/W1597236814","https://openalex.org/W1669219688","https://openalex.org/W1965224799","https://openalex.org/W1970536705","https://openalex.org/W1986545790","https://openalex.org/W1994841499","https://openalex.org/W2005536015","https://openalex.org/W2062341196","https://openalex.org/W2084987578","https://openalex.org/W2092400178","https://openalex.org/W2101840010","https://openalex.org/W2107625832","https://openalex.org/W2112094394","https://openalex.org/W2114570682","https://openalex.org/W2116962375","https://openalex.org/W2122838565","https://openalex.org/W2123629701","https://openalex.org/W2126153569","https://openalex.org/W2128039462","https://openalex.org/W2132870761","https://openalex.org/W2138285502","https://openalex.org/W2141116650","https://openalex.org/W2141341167","https://openalex.org/W2145160699","https://openalex.org/W2150957281","https://openalex.org/W2153396796","https://openalex.org/W2164390589","https://openalex.org/W2167521087","https://openalex.org/W2167755092","https://openalex.org/W2168156431","https://openalex.org/W3105870539","https://openalex.org/W4231571068","https://openalex.org/W4251946462","https://openalex.org/W6644863192","https://openalex.org/W6673836882"],"related_works":["https://openalex.org/W2368043784","https://openalex.org/W2576230203","https://openalex.org/W3015557210","https://openalex.org/W2009568739","https://openalex.org/W2210983845","https://openalex.org/W2119667497","https://openalex.org/W1570358496","https://openalex.org/W2103898286","https://openalex.org/W2112578300","https://openalex.org/W2393783098"],"abstract_inverted_index":{"We":[0],"present":[1],"BigBand,":[2],"a":[3,58,87],"technology":[4],"that":[5,52,89],"can":[6,30,110],"capture":[7],"GHz":[8,92,112],"of":[9,46,108],"spectrum":[10,82,113,120],"in":[11,43,116],"realtime":[12],"without":[13,21,61],"sampling":[14,62,80],"the":[15,44,65,81,100,119],"signal":[16,60],"at":[17,64,83],"GS/s":[18],"-":[19,93],"i.e.,":[20,94],"high":[22],"speed":[23],"ADCs.":[24],"Further,":[25],"it":[26,53,63,74],"is":[27,54,121],"simple":[28],"and":[29],"be":[31],"implemented":[32],"on":[33,40],"commodity":[34],"low-power":[35],"radios.":[36],"Our":[37],"approach":[38],"builds":[39],"recent":[41],"advances":[42],"area":[45],"sparse":[47,59],"Fourier":[48],"transforms,":[49],"which":[50],"show":[51],"possible":[55],"to":[56],"reconstruct":[57],"Nyquist":[66],"rate.":[67],"To":[68],"demonstrate":[69],"our":[70],"design,":[71],"we":[72],"implement":[73],"using":[75],"3":[76],"software":[77,102],"radios,":[78],"each":[79],"50":[84],"MS/s,":[85],"producing":[86],"device":[88],"captures":[90],"0.9":[91],"6\u00d7":[95],"larger":[96],"digital":[97],"bandwidth":[98],"than":[99],"three":[101],"radios":[103],"combined.":[104],"Finally,":[105],"an":[106],"extension":[107],"BigBand":[109],"perform":[111],"sensing":[114],"even":[115],"scenarios":[117],"where":[118],"not":[122],"sparse.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
