iBet uBet
web content aggregator. Adding the entire web to your favor.
Link to original content:
https://api.openalex.org/works/doi:10.1109/ICDSP.2015.7251856
{"id":"https://openalex.org/W1542204645","doi":"https://doi.org/10.1109/icdsp.2015.7251856","title":"A low complexity filtering scheme for signal driven sampling","display_name":"A low complexity filtering scheme for signal driven sampling","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1542204645","doi":"https://doi.org/10.1109/icdsp.2015.7251856","mag":"1542204645"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5101478527","display_name":"Ying Wei","orcid":"https://orcid.org/0000-0001-8217-4765"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wei","raw_affiliation_strings":["School of Information science and engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information science and engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007186903","display_name":"Debao Liu","orcid":"https://orcid.org/0000-0003-0533-0693"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debao Liu","raw_affiliation_strings":["Sch. of Control Sci. & Eng., ShanDong Univ., Jinan, China"],"affiliations":[{"raw_affiliation_string":"Sch. of Control Sci. & Eng., ShanDong Univ., Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.128,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.222042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":66,"max":73},"biblio":{"volume":null,"issue":null,"first_page":"187","last_page":"190"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image Denoising Techniques and Algorithms","score":0.998,"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 Denoising Techniques and Algorithms","score":0.998,"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 and Independent Component Analysis","score":0.9973,"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/T11698","display_name":"Multiscale Seafloor Mapping and Classification Techniques","score":0.9954,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6295996},{"id":"https://openalex.org/keywords/coherent-sampling","display_name":"Coherent sampling","score":0.5459468},{"id":"https://openalex.org/keywords/signal-decomposition","display_name":"Signal Decomposition","score":0.529751},{"id":"https://openalex.org/keywords/sampling-scheme","display_name":"Sampling scheme","score":0.4581638},{"id":"https://openalex.org/keywords/nonuniform-sampling","display_name":"Nonuniform sampling","score":0.45250404}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7453122},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.63240457},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6295996},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6272776},{"id":"https://openalex.org/C31942786","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Coherent sampling","level":4,"score":0.5459468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5445694},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5187559},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46439558},{"id":"https://openalex.org/C2985139394","wikidata":"https://www.wikidata.org/wiki/Q49908","display_name":"Sampling scheme","level":3,"score":0.4581638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45514587},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.45250404},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22777653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11956233},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1492691317","https://openalex.org/W1663858207","https://openalex.org/W2090758583","https://openalex.org/W2122502139","https://openalex.org/W2127120319","https://openalex.org/W2131554460","https://openalex.org/W2131675349","https://openalex.org/W2133808134","https://openalex.org/W4242565096","https://openalex.org/W607933207"],"related_works":["https://openalex.org/W4300513038","https://openalex.org/W2952404111","https://openalex.org/W2392509758","https://openalex.org/W2387422968","https://openalex.org/W2371233233","https://openalex.org/W2361378706","https://openalex.org/W2355268223","https://openalex.org/W2349681020","https://openalex.org/W2057211638","https://openalex.org/W2050584995"],"abstract_inverted_index":{"A":[0],"filtering":[1],"scheme":[2],"was":[3],"proposed":[4],"to":[5,12,58],"process":[6],"non-uniform":[7,16],"samples":[8,29],"without":[9],"re-sampling":[10],"them":[11],"uniform":[13],"samples.":[14],"The":[15,46],"sampling":[17,39],"algorithm":[18],"combines":[19],"Actively":[20],"Selective":[21],"Algorithm":[22],"(ASA)":[23],"and":[24,55],"signal-driven":[25],"sampling.":[26],"Only":[27],"the":[28,38,49,60,66,84],"which":[30],"carry":[31],"relevant":[32],"information":[33],"are":[34,52],"recorded.":[35],"Based":[36],"on":[37],"scheme,":[40],"a":[41,71],"length-various":[42],"filter":[43,51,73],"is":[44],"used.":[45],"coefficients":[47,62,81],"of":[48,80],"primary":[50],"selected,":[53],"grouped":[54],"summed":[56],"up":[57],"form":[59],"new":[61],"in":[63],"accordance":[64],"with":[65,77,83],"input.":[67],"In":[68],"this":[69],"way,":[70],"long":[72],"can":[74],"be":[75],"realized":[76],"smaller":[78],"number":[79],"compared":[82],"conventional":[85],"filtering.":[86]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1542204645","counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2024-10-05T21:20:36.496237","created_date":"2016-06-24"}
