{"id":"https://openalex.org/W2207923963","doi":"https://doi.org/10.1109/dsp-spe.2015.7369579","title":"Parametric spectral signal restoration via maximum entropy constraint and its application","display_name":"Parametric spectral signal restoration via maximum entropy constraint and its application","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2207923963","doi":"https://doi.org/10.1109/dsp-spe.2015.7369579","mag":"2207923963"},"language":"en","primary_location":{"id":"doi:10.1109/dsp-spe.2015.7369579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp-spe.2015.7369579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","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/A5100368941","display_name":"Hai Liu","orcid":"https://orcid.org/0000-0002-5556-1150"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hai Liu","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020980410","display_name":"Zhaoli Zhang","orcid":"https://orcid.org/0000-0002-0844-0719"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoli Zhang","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065669497","display_name":"Sannyuya Liu","orcid":"https://orcid.org/0000-0002-4926-3720"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanya Liu","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101070778","display_name":"Jiangbo Shu","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbo Shu","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442044","display_name":"Tingting Liu","orcid":"https://orcid.org/0000-0003-3671-2782"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Liu","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100368941"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":0.7416,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70893642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"353","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9954000115394592,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.8106937408447266},{"id":"https://openalex.org/keywords/maximum-entropy-spectral-estimation","display_name":"Maximum entropy spectral estimation","score":0.7203179597854614},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6138590574264526},{"id":"https://openalex.org/keywords/differential-entropy","display_name":"Differential entropy","score":0.5870521068572998},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5831314921379089},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5449082851409912},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.508070707321167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5006427764892578},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4820781350135803},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.4499725103378296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43295520544052124},{"id":"https://openalex.org/keywords/maximum-entropy-probability-distribution","display_name":"Maximum entropy probability distribution","score":0.3098139762878418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2725701332092285},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20268166065216064},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13137418031692505}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8106937408447266},{"id":"https://openalex.org/C89735579","wikidata":"https://www.wikidata.org/wiki/Q6795894","display_name":"Maximum entropy spectral estimation","level":3,"score":0.7203179597854614},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6138590574264526},{"id":"https://openalex.org/C124551494","wikidata":"https://www.wikidata.org/wiki/Q3055345","display_name":"Differential entropy","level":4,"score":0.5870521068572998},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5831314921379089},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5449082851409912},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.508070707321167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5006427764892578},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4820781350135803},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.4499725103378296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43295520544052124},{"id":"https://openalex.org/C60507348","wikidata":"https://www.wikidata.org/wiki/Q6795892","display_name":"Maximum entropy probability distribution","level":3,"score":0.3098139762878418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2725701332092285},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20268166065216064},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13137418031692505},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsp-spe.2015.7369579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp-spe.2015.7369579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1965555277","https://openalex.org/W1965570176","https://openalex.org/W1979643104","https://openalex.org/W1981766787","https://openalex.org/W1992692890","https://openalex.org/W2000844013","https://openalex.org/W2024368333","https://openalex.org/W2039376124","https://openalex.org/W2047669106","https://openalex.org/W2093628091","https://openalex.org/W2103142195","https://openalex.org/W2104936830","https://openalex.org/W2120977545","https://openalex.org/W2126933004","https://openalex.org/W2143921433","https://openalex.org/W2162894628","https://openalex.org/W2163547919"],"related_works":["https://openalex.org/W2034921015","https://openalex.org/W3021846434","https://openalex.org/W2161544911","https://openalex.org/W2064875109","https://openalex.org/W2068679119","https://openalex.org/W1966654446","https://openalex.org/W2176894780","https://openalex.org/W1999129037","https://openalex.org/W4293877523","https://openalex.org/W1526412845"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"will":[4],"propose":[5],"a":[6,34,49,64],"new":[7,37],"framework":[8],"which":[9,52],"can":[10],"estimate":[11],"the":[12,16,23,28,46,58,71,75,93,98],"desired":[13],"signal":[14,30],"and":[15,81,96],"instrument":[17],"response":[18],"function":[19],"(IRF)":[20],"simultaneously":[21],"from":[22],"degraded":[24],"spectral":[25,29,94],"signal.":[26],"Firstly,":[27],"is":[31,42,60,88],"considered":[32],"as":[33,63],"distribution,":[35,51],"thus,":[36],"entropy":[38],"(called":[39],"differential-entropy,":[40],"DE)":[41],"defined":[43],"to":[44],"measure":[45],"distribution":[47],"with":[48],"uniform":[50],"allows":[53],"negative":[54],"value":[55],"existing.":[56],"Moreover,":[57],"IRF":[59],"parametrically":[61],"modeled":[62],"Lorentzian":[65],"function.":[66],"Comparative":[67],"results":[68],"manifest":[69],"that":[70],"proposed":[72],"method":[73],"outperforms":[74],"conventional":[76],"methods":[77],"on":[78],"peak":[79],"narrowing":[80],"noise":[82],"suppression.":[83],"The":[84],"deconvolution":[85],"IR":[86],"spectrum":[87],"more":[89],"convenient":[90],"for":[91],"extracting":[92],"feature":[95],"interpreting":[97],"unknown":[99],"chemical":[100],"mixtures.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}