{"id":"https://openalex.org/W2158304276","doi":"https://doi.org/10.1109/icassp.2006.1661476","title":"Zero Autocorrelation Waveforms: A Doppler Statistic and Multifunction Problems","display_name":"Zero Autocorrelation Waveforms: A Doppler Statistic and Multifunction Problems","publication_year":2006,"publication_date":"2006-08-02","ids":{"openalex":"https://openalex.org/W2158304276","doi":"https://doi.org/10.1109/icassp.2006.1661476","mag":"2158304276"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1661476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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/A5088060405","display_name":"John J. Benedetto","orcid":"https://orcid.org/0000-0003-0257-6401"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.J. Benedetto","raw_affiliation_strings":["Department of Mathematics, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012768564","display_name":"Jeffrey J. Donatelli","orcid":"https://orcid.org/0009-0003-7173-0174"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Donatelli","raw_affiliation_strings":["Department of Mathematics, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090428092","display_name":"I. Konstantinidis","orcid":"https://orcid.org/0000-0001-6631-0077"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I. Konstantinidis","raw_affiliation_strings":["Department of Mathematics, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000581049","display_name":"Christopher G. Shaw","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Shaw","raw_affiliation_strings":["Department of Mathematics, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"V","last_page":"1117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.8859403133392334},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.8001118302345276},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7095884084701538},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.6134787797927856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.561728835105896},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5173291563987732},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5126060843467712},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.5105813145637512},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47372475266456604},{"id":"https://openalex.org/keywords/binary-golay-code","display_name":"Binary Golay code","score":0.462058424949646},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.43769556283950806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42766910791397095},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4245522618293762},{"id":"https://openalex.org/keywords/algebraic-number","display_name":"Algebraic number","score":0.4237828850746155},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4218360185623169},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.410244882106781},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.29973095655441284},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21519190073013306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1984783411026001},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1615033745765686},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13551995158195496},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13533291220664978}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8859403133392334},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.8001118302345276},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7095884084701538},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.6134787797927856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.561728835105896},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5173291563987732},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5126060843467712},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.5105813145637512},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47372475266456604},{"id":"https://openalex.org/C165293857","wikidata":"https://www.wikidata.org/wiki/Q1534522","display_name":"Binary Golay code","level":2,"score":0.462058424949646},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.43769556283950806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42766910791397095},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4245522618293762},{"id":"https://openalex.org/C9376300","wikidata":"https://www.wikidata.org/wiki/Q168817","display_name":"Algebraic number","level":2,"score":0.4237828850746155},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4218360185623169},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.410244882106781},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.29973095655441284},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21519190073013306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1984783411026001},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1615033745765686},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13551995158195496},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13533291220664978},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2006.1661476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},{"id":"pmh:ADA476425","is_oa":false,"landing_page_url":"http://oai.dtic.mil/oai/oai?&amp;verb=getRecord&amp;metadataPrefix=html&amp;identifier=ADA476425","pdf_url":null,"source":{"id":"https://openalex.org/S4406923043","display_name":"Defense Technical Information Center (DTIC)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DTIC","raw_type":"Text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.208.6957","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.6957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.math.umd.edu/~jjb/final.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":18,"referenced_works":["https://openalex.org/W1571821595","https://openalex.org/W1911558070","https://openalex.org/W1966245736","https://openalex.org/W2072565885","https://openalex.org/W2086869478","https://openalex.org/W2109670214","https://openalex.org/W2116211855","https://openalex.org/W2129792960","https://openalex.org/W2130080747","https://openalex.org/W2137694418","https://openalex.org/W2138706041","https://openalex.org/W2146118141","https://openalex.org/W2168719276","https://openalex.org/W2170678594","https://openalex.org/W2182304189","https://openalex.org/W2964184480","https://openalex.org/W3188818167","https://openalex.org/W4244753254"],"related_works":["https://openalex.org/W1990336786","https://openalex.org/W2012585113","https://openalex.org/W2028812061","https://openalex.org/W2128106185","https://openalex.org/W1995336810","https://openalex.org/W2221318576","https://openalex.org/W2006439589","https://openalex.org/W1973098787","https://openalex.org/W1978426684","https://openalex.org/W2186816027"],"abstract_inverted_index":{"Constant":[0],"amplitude":[1],"zero":[2],"autocorrelation":[3],"(off":[4],"the":[5,17,50,74,86],"dc":[6],"component)":[7],"waveforms":[8],"are":[9,12,38,55,70],"constructed.":[10],"These":[11],"called":[13],"CAZAC":[14],"waveforms.":[15],"In":[16],"d-dimensional":[18,61],"case":[19,94],"they":[20,54,69,80],"consist":[21],"of":[22,76,88],"N":[23,26,30,67],"vectors,":[24],"where":[25],"is":[27,31],"given,":[28],"and":[29,40,65,79],"generally":[32],"greater":[33],"than":[34],"d.":[35],"The":[36,91],"constructions":[37],"algebraic":[39],"have":[41,49],"been":[42],"implemented":[43],"in":[44,73,85],"user":[45],"friendly":[46],"software.":[47],"They":[48],"added":[51],"feature":[52],"that":[53],"a":[56],"spanning":[57],"set":[58],"for":[59,66],"all":[60],"signals.":[62],"As":[63],"such,":[64],"large,":[68],"numerically":[71],"stable":[72],"presence":[75,87],"machine":[77],"imperfections":[78],"give":[81],"good":[82],"signal":[83],"reconstruction":[84],"various":[89],"noises.":[90],"one":[92],"dimensional":[93],"provides":[95],"effective":[96],"thresholding":[97],"to":[98],"compute":[99],"Doppler":[100],"shifts":[101]},"counts_by_year":[{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
