{"id":"https://openalex.org/W2599570615","doi":"https://doi.org/10.1109/globalsip.2016.7905852","title":"Sparse representation of human auditory system","display_name":"Sparse representation of human auditory system","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2599570615","doi":"https://doi.org/10.1109/globalsip.2016.7905852","mag":"2599570615"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2016.7905852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5024032734","display_name":"Mohammad Edalatian","orcid":null},"institutions":[{"id":"https://openalex.org/I69425150","display_name":"Imam Khomeini International University","ror":"https://ror.org/02jeykk09","country_code":"IR","type":"education","lineage":["https://openalex.org/I69425150"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Edalatian","raw_affiliation_strings":["Imam Khomeini International University, Qazvin, Iran"],"affiliations":[{"raw_affiliation_string":"Imam Khomeini International University, Qazvin, Iran","institution_ids":["https://openalex.org/I69425150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022782168","display_name":"Ali Asghar Soitani","orcid":null},"institutions":[{"id":"https://openalex.org/I69425150","display_name":"Imam Khomeini International University","ror":"https://ror.org/02jeykk09","country_code":"IR","type":"education","lineage":["https://openalex.org/I69425150"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Asghar Soitani","raw_affiliation_strings":["Imam Khomeini International University, Qazvin, Qazvin, IR"],"affiliations":[{"raw_affiliation_string":"Imam Khomeini International University, Qazvin, Qazvin, IR","institution_ids":["https://openalex.org/I69425150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010533785","display_name":"Neda Faraji","orcid":null},"institutions":[{"id":"https://openalex.org/I69425150","display_name":"Imam Khomeini International University","ror":"https://ror.org/02jeykk09","country_code":"IR","type":"education","lineage":["https://openalex.org/I69425150"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Neda Faraji","raw_affiliation_strings":["Imam Khomeini International University, Qazvin, Iran"],"affiliations":[{"raw_affiliation_string":"Imam Khomeini International University, Qazvin, Iran","institution_ids":["https://openalex.org/I69425150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024032734"],"corresponding_institution_ids":["https://openalex.org/I69425150"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20840776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994999766349792,"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/matching-pursuit","display_name":"Matching pursuit","score":0.899616003036499},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.8509832620620728},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.7605018019676208},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6748618483543396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.647436261177063},{"id":"https://openalex.org/keywords/pesq","display_name":"PESQ","score":0.639309287071228},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5652169585227966},{"id":"https://openalex.org/keywords/auditory-system","display_name":"Auditory system","score":0.5488125681877136},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5352258086204529},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5266104936599731},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.4777642488479614},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47390687465667725},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.4572124481201172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4200073182582855},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3676515817642212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3554510474205017},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.2917892336845398},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.2838385999202728},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2728998064994812},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12409290671348572},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.10082840919494629},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.09190821647644043}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.899616003036499},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.8509832620620728},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.7605018019676208},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6748618483543396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647436261177063},{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.639309287071228},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5652169585227966},{"id":"https://openalex.org/C2777443451","wikidata":"https://www.wikidata.org/wiki/Q821413","display_name":"Auditory system","level":2,"score":0.5488125681877136},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5352258086204529},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5266104936599731},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.4777642488479614},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47390687465667725},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.4572124481201172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4200073182582855},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3676515817642212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3554510474205017},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2917892336845398},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.2838385999202728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2728998064994812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12409290671348572},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.10082840919494629},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.09190821647644043},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2016.7905852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1552314771","https://openalex.org/W1989113243","https://openalex.org/W2012061403","https://openalex.org/W2052818671","https://openalex.org/W2116148865","https://openalex.org/W2118297240","https://openalex.org/W2133285226","https://openalex.org/W2138406058","https://openalex.org/W2151693816","https://openalex.org/W2159372782","https://openalex.org/W2160547390","https://openalex.org/W4233392025","https://openalex.org/W4235713725"],"related_works":["https://openalex.org/W1973136739","https://openalex.org/W2023006447","https://openalex.org/W2011611369","https://openalex.org/W4245251483","https://openalex.org/W2171855081","https://openalex.org/W2160547390","https://openalex.org/W1973732034","https://openalex.org/W2113038107","https://openalex.org/W4254934694","https://openalex.org/W2179105017"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"three":[3,57],"sparse":[4,28,41,61,90],"models":[5,106],"for":[6,60,89],"the":[7,17,20,24,31,64,85],"human":[8],"auditory":[9,25],"system":[10,26],"are":[11,45],"proposed.":[12],"Biological":[13],"studies":[14],"shows":[15],"that":[16,69],"haircells":[18],"in":[19,56,107],"inner":[21],"ear":[22],"of":[23,33,63,66,84,104],"generate":[27],"codes":[29],"from":[30],"output":[32,65],"cochlea":[34,67],"filterbank.":[35,75],"Here,":[36],"we":[37,77],"employ":[38],"two":[39],"mathematical":[40],"representation":[42,62],"methods,":[43],"which":[44],"Orthogonal":[46],"Matching":[47],"Pursuit":[48],"(OMP)":[49],"and":[50,98,110],"K":[51],"Singular":[52],"Value":[53],"Decomposition":[54],"(K-SVD),":[55],"different":[58],"strategies":[59],"filterbank":[68],"is":[70],"modeled":[71],"by":[72,94],"a":[73],"Gammatone":[74],"Although,":[76],"use":[78],"nearly":[79],"5":[80],"to":[81],"10":[82],"percent":[83],"original":[86],"signal's":[87],"dimension":[88],"representation,":[91],"experimental":[92],"results":[93],"evaluating":[95],"reconstruction":[96],"error":[97],"PESQ":[99],"measures":[100],"demonstrate":[101],"good":[102],"performance":[103],"these":[105],"both":[108],"clean":[109],"noisy":[111],"conditions.":[112]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
