{"id":"https://openalex.org/W4401609556","doi":"https://doi.org/10.1109/icasspw62465.2024.10627180","title":"Deep Neural Network Model Compression and Signal Processing","display_name":"Deep Neural Network Model Compression and Signal Processing","publication_year":2024,"publication_date":"2024-04-14","ids":{"openalex":"https://openalex.org/W4401609556","doi":"https://doi.org/10.1109/icasspw62465.2024.10627180"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw62465.2024.10627180","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw62465.2024.10627180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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/A5068538481","display_name":"Arijit Ukil","orcid":"https://orcid.org/0000-0003-1794-6719"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arijit Ukil","raw_affiliation_strings":["Tata Consultancy Services,India"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020310463","display_name":"Angshul Majumdar","orcid":"https://orcid.org/0000-0002-1065-3000"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Angshul Majumdar","raw_affiliation_strings":["Indraprastha Institute of Information Technology,Delhi,India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology,Delhi,India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031951547","display_name":"Antonio J. Jara","orcid":"https://orcid.org/0000-0002-2651-6684"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio J. Jara","raw_affiliation_strings":["Libelium,Spain"],"affiliations":[{"raw_affiliation_string":"Libelium,Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114376321","display_name":"Jo\u00e3o Gama","orcid":"https://orcid.org/0000-0003-3357-1195"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Gama","raw_affiliation_strings":["University of Porto,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"University of Porto,Porto,Portugal","institution_ids":["https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068538481"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":1.0473,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80618304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.40070000290870667,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.40070000290870667,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7047333717346191},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6706331372261047},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5223737359046936},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5213854908943176},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4762142598628998},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4165840744972229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4099087417125702},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.19709771871566772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047333717346191},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6706331372261047},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5223737359046936},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5213854908943176},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4762142598628998},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4165840744972229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4099087417125702},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.19709771871566772},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icasspw62465.2024.10627180","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw62465.2024.10627180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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":21,"referenced_works":["https://openalex.org/W1567641458","https://openalex.org/W2119144962","https://openalex.org/W2194775991","https://openalex.org/W2586240443","https://openalex.org/W2783538964","https://openalex.org/W2805003733","https://openalex.org/W2902644322","https://openalex.org/W2963809228","https://openalex.org/W3092074970","https://openalex.org/W3094502228","https://openalex.org/W3200688163","https://openalex.org/W4200068023","https://openalex.org/W4283066473","https://openalex.org/W4294975181","https://openalex.org/W4306809382","https://openalex.org/W4312796067","https://openalex.org/W4324057834","https://openalex.org/W6677580257","https://openalex.org/W6751979845","https://openalex.org/W6784333009","https://openalex.org/W6846179100"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2350679292","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNN)":[3],"are":[4,39,107],"used":[5,47,108,124],"to":[6,73,82,125],"analyze":[7],"images,":[8],"videos,":[9],"signals":[10],"and":[11,18,99],"texts":[12],"require":[13],"a":[14,32,117],"lot":[15],"of":[16,40,56,104,140],"memory":[17],"intensive":[19],"computing":[20],"power.":[21],"For":[22,112],"example,":[23,113],"the":[24,101,138],"very":[25,48],"successful":[26],"GPT4":[27],"model":[28,146],"contains":[29],"more":[30],"than":[31],"few":[33],"trillion":[34],"parameters.":[35],"Although":[36],"such":[37],"models":[38,76],"great":[41],"impact,":[42],"but":[43],"they":[44],"have":[45,93],"been":[46,122],"little":[49],"in":[50,65,86],"real-world":[51],"applications,":[52],"including":[53],"industrial":[54],"Internet":[55],"Things,":[57],"self-driving":[58],"cars,":[59],"algorithmic":[60],"health":[61],"monitoring":[62],"for":[63,109,144],"use":[64,139],"limited":[66],"mobile":[67],"or":[68],"edge":[69],"devices.":[70],"The":[71],"requirement":[72],"run":[74],"large":[75],"on":[77,137],"resource-constrained":[78],"peripherals":[79],"has":[80,121],"led":[81],"significant":[83],"research":[84],"interest":[85],"compressing":[87],"DNN":[88,110,128,145],"models.":[89,129],"Signal":[90],"processing":[91,142],"researchers":[92],"traditionally":[94],"advocated":[95],"data":[96],"(image/video/audio)":[97],"compression,":[98],"by":[100],"way,":[102],"many":[103],"these":[105],"techniques":[106],"compression.":[111,147],"source":[114],"coding":[115],"is":[116],"basic":[118],"technique":[119],"that":[120],"widely":[123],"compress":[126],"various":[127],"In":[130],"this":[131],"paper,":[132],"we":[133],"present":[134],"our":[135],"views":[136],"signal":[141],"methods":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}