{"id":"https://openalex.org/W2096506648","doi":"https://doi.org/10.1109/icassp.1982.1171690","title":"Fast measurements of the attenuation and delay characteristics of data channels","display_name":"Fast measurements of the attenuation and delay characteristics of data channels","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2096506648","doi":"https://doi.org/10.1109/icassp.1982.1171690","mag":"2096506648"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5004605647","display_name":"R. Boite","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"R. Boite","raw_affiliation_strings":["Mons, Belgium"],"affiliations":[{"raw_affiliation_string":"Mons, Belgium","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061867932","display_name":"H. Leich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Leich","raw_affiliation_strings":["Mons, Belgium"],"affiliations":[{"raw_affiliation_string":"Mons, Belgium","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004605647"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1785791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1770","last_page":"1772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11417","display_name":"Advancements in PLL and VCO Technologies","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11236","display_name":"Control Systems and Identification","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/attenuation","display_name":"Attenuation","score":0.7762842178344727},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6881036162376404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5914154052734375},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5519025325775146},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5233872532844543},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.5221688747406006},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5123554468154907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4929065704345703},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4882619380950928},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.4531247913837433},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4345468282699585},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.39381977915763855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.327605277299881},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.29292309284210205},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2679385542869568},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.2157585620880127},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16729438304901123}],"concepts":[{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.7762842178344727},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6881036162376404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5914154052734375},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5519025325775146},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5233872532844543},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.5221688747406006},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5123554468154907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4929065704345703},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4882619380950928},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.4531247913837433},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4345468282699585},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.39381977915763855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.327605277299881},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29292309284210205},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2679385542869568},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.2157585620880127},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16729438304901123},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1982.1171690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2154006536","https://openalex.org/W2348800014","https://openalex.org/W2365391860","https://openalex.org/W1820187807","https://openalex.org/W2155491755","https://openalex.org/W4362564158","https://openalex.org/W2085939569","https://openalex.org/W1984031140","https://openalex.org/W2516295475","https://openalex.org/W2034082304"],"abstract_inverted_index":{"A":[0],"procedure":[1,88],"for":[2],"the":[3,7,15,31,34,50,77,80,99],"fast":[4],"measurement":[5],"of":[6,11,18,33,54,71,79,101],"attenuation":[8],"and":[9,47,98],"delay":[10],"data":[12],"channels":[13],"in":[14,73],"frequency":[16],"band":[17],"interest":[19],"(100":[20],"to":[21,37,68,75],"3400":[22],"Hz)":[23],"is":[24,28,45,89,104],"described.":[25],"The":[26,86],"method":[27],"based":[29],"upon":[30],"analysis":[32],"steady-state":[35],"response":[36],"a":[38,69,83,96],"special":[39],"periodic":[40],"input":[41],"sequence;":[42],"that":[43,49],"sequence":[44],"pseudo-random":[46],"such":[48],"Discrete":[51],"FOURIER":[52],"Transform":[53],"one":[55],"period":[56],"has":[57,92],"strict":[58],"constant":[59],"amplitude;":[60],"moreover":[61],"its":[62],"length":[63],"can":[64],"be":[65],"chosen":[66],"equal":[67],"power":[70],"2,":[72],"order":[74],"facilitate":[76],"computation":[78],"D.F.T.":[81],"by":[82],"F.F.T.":[84],"algorithm.":[85],"complete":[87],"described;":[90],"it":[91],"been":[93],"simulated":[94],"on":[95],"computer":[97],"influence":[100],"various":[102],"parameters":[103],"reported.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
