{"id":"https://openalex.org/W2798924194","doi":"https://doi.org/10.1109/acssc.2017.8335573","title":"An effective hardware implementation of 1024-point linear convolution based on Hirschman Optimal Transform","display_name":"An effective hardware implementation of 1024-point linear convolution based on Hirschman Optimal Transform","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2798924194","doi":"https://doi.org/10.1109/acssc.2017.8335573","mag":"2798924194"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2017.8335573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","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/A5035887746","display_name":"Dingli Xue","orcid":"https://orcid.org/0000-0003-1633-7233"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dingli Xue","raw_affiliation_strings":["Electrical & Computer Engineering, Florida State University, Tallahassee, Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering, Florida State University, Tallahassee, Florida","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006876328","display_name":"Linda S. DeBrunner","orcid":"https://orcid.org/0000-0001-9926-8602"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linda S. DeBrunner","raw_affiliation_strings":["Electrical & Computer Engineering, Florida State University, Tallahassee, Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering, Florida State University, Tallahassee, Florida","institution_ids":["https://openalex.org/I103163165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103163165"],"apc_list":null,"apc_paid":null,"fwci":0.7475,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73771499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1347","last_page":"1350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.7956965565681458},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7064977884292603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6681650876998901},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.5619612336158752},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.5089607238769531},{"id":"https://openalex.org/keywords/overlap\u2013add-method","display_name":"Overlap\u2013add method","score":0.49819087982177734},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.45591601729393005},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.429187536239624},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.41041263937950134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39629700779914856},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3922986388206482},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.33604204654693604},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3260836601257324},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.3232607841491699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19109022617340088},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.182221919298172},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1384691596031189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11825534701347351},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11621221899986267},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.08017498254776001}],"concepts":[{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.7956965565681458},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7064977884292603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681650876998901},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.5619612336158752},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.5089607238769531},{"id":"https://openalex.org/C181002996","wikidata":"https://www.wikidata.org/wiki/Q1611641","display_name":"Overlap\u2013add method","level":5,"score":0.49819087982177734},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.45591601729393005},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.429187536239624},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.41041263937950134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39629700779914856},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3922986388206482},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.33604204654693604},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3260836601257324},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.3232607841491699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19109022617340088},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.182221919298172},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1384691596031189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11825534701347351},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11621221899986267},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.08017498254776001},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2017.8335573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1535749512","https://openalex.org/W2054215882","https://openalex.org/W2061171222","https://openalex.org/W2107868713","https://openalex.org/W2543382323"],"related_works":["https://openalex.org/W2267589039","https://openalex.org/W2369791303","https://openalex.org/W4372260258","https://openalex.org/W2133280289","https://openalex.org/W2360069155","https://openalex.org/W2759540840","https://openalex.org/W2169963286","https://openalex.org/W4254230825","https://openalex.org/W2919798019","https://openalex.org/W2159795102"],"abstract_inverted_index":{"A":[0,24],"general":[1,25],"structure":[2],"based":[3,31],"on":[4,32],"the":[5,33,47,66,71],"Hirschman":[6],"Optimal":[7],"Transform":[8,50],"(HOT)":[9],"is":[10,13,35,68],"described":[11],"that":[12],"suitable":[14],"for":[15],"implementation":[16,27],"using":[17,46],"Field":[18],"Programmable":[19],"Gate":[20],"Arrays":[21],"or":[22],"ASICs.":[23],"hardware":[26],"of":[28,75],"linear":[29],"convolution":[30],"HOT":[34,38,67],"proposed.":[36],"The":[37],"can":[39],"be":[40],"used":[41],"in":[42,73],"applications":[43],"traditionally":[44],"implemented":[45],"Fast":[48],"Fourier":[49],"(FFT),":[51],"including":[52],"FIR":[53],"convolution,":[54],"compressive":[55],"sensing":[56],"and":[57,80],"Orthogonal":[58],"Frequency":[59],"Division":[60],"Multiplexing":[61],"(OFDM).":[62],"For":[63],"these":[64],"applications,":[65],"superior":[69],"to":[70],"FFT":[72],"terms":[74],"computational":[76],"complexity,":[77],"accuracy,":[78],"area":[79],"latency.":[81]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}