{"id":"https://openalex.org/W2979123673","doi":"https://doi.org/10.1109/iccchina.2019.8855870","title":"A Novel Wavelet Denoising Pre-processing Algorithm for TDOA Localization","display_name":"A Novel Wavelet Denoising Pre-processing Algorithm for TDOA Localization","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2979123673","doi":"https://doi.org/10.1109/iccchina.2019.8855870","mag":"2979123673"},"language":"en","primary_location":{"id":"doi:10.1109/iccchina.2019.8855870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchina.2019.8855870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CIC International Conference on Communications in China (ICCC)","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/A5017205152","display_name":"Wenping Zhu","orcid":"https://orcid.org/0000-0002-3276-4019"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Zhu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041410734","display_name":"Shujuan Hou","orcid":"https://orcid.org/0000-0003-1975-5254"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujuan Hou","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2034,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54877415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"266","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.996399998664856,"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":0.9908999800682068,"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/T10860","display_name":"Speech and Audio Processing","score":0.9754999876022339,"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/multilateration","display_name":"Multilateration","score":0.7702150344848633},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6989420652389526},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6859683394432068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6678696274757385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4876517057418823},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4604495167732239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4559288024902344},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.42027774453163147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37429338693618774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20203852653503418},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.058142513036727905}],"concepts":[{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.7702150344848633},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6989420652389526},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6859683394432068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6678696274757385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4876517057418823},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4604495167732239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4559288024902344},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.42027774453163147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37429338693618774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20203852653503418},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.058142513036727905},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"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/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccchina.2019.8855870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchina.2019.8855870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8399999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1525082254","https://openalex.org/W2078677256","https://openalex.org/W2138114662","https://openalex.org/W2158317991","https://openalex.org/W2161625030","https://openalex.org/W2170390609","https://openalex.org/W2358645414","https://openalex.org/W2468506054","https://openalex.org/W2765767535"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W1987356308","https://openalex.org/W3119800349","https://openalex.org/W4385272703","https://openalex.org/W2139368882","https://openalex.org/W4214691059","https://openalex.org/W2513570774","https://openalex.org/W4287907666","https://openalex.org/W2903172302","https://openalex.org/W2997240037"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,27,65],"reduce":[3],"the":[4,30,38,73,83,91,101],"distance":[5,96],"measurement":[6,97],"errors":[7,98],"during":[8],"TDOA":[9],"localization,":[10],"a":[11,59],"novel":[12],"pre-processing":[13,23],"algorithm":[14,24,94],"based":[15,36],"on":[16,37],"wavelet":[17,22,33,50,68,92],"denoising":[18],"is":[19,25,63,85],"proposed.":[20],"The":[21],"able":[26],"flexibly":[28],"select":[29],"number":[31],"of":[32,75],"decomposition":[34],"levels":[35],"energy":[39],"coefficient,":[40],"then":[41],"different":[42,105],"thresholds":[43],"are":[44],"set":[45],"for":[46],"positive":[47],"and":[48,78,81,99],"negative":[49],"coefficients":[51,69],"which":[52,70],"do":[53],"not":[54],"require":[55],"noise":[56],"estimation.":[57],"Next,":[58],"new":[60],"threshold":[61],"function":[62],"designed":[64],"deal":[66],"with":[67],"can":[71],"incorporate":[72],"advantages":[74],"soft":[76],"thresholding":[77],"hard":[79],"thresholding,":[80],"finally":[82],"signal":[84],"reconstruct.":[86],"Simulation":[87],"results":[88],"show":[89],"that":[90],"preprocessing":[93],"reduces":[95],"improves":[100],"positioning":[102],"accuracy":[103],"under":[104],"environments.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
