{"id":"https://openalex.org/W2021431281","doi":"https://doi.org/10.1109/ssp.2012.6319642","title":"Robust detection of weak acoustic signals in noise using near optimal shrinkage in radon domain","display_name":"Robust detection of weak acoustic signals in noise using near optimal shrinkage in radon domain","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2021431281","doi":"https://doi.org/10.1109/ssp.2012.6319642","mag":"2021431281"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","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/A5004738943","display_name":"Shuchin Aeron","orcid":"https://orcid.org/0000-0002-1049-9795"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shuchin Aeron","raw_affiliation_strings":["Department of ECE, Tufts University, Medford, MA, USA","Tufts University, Dept. of ECE, Medford, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Tufts University, Dept. of ECE, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112260593","display_name":"Sandip Bose","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090857","display_name":"Schlumberger (United States)","ror":"https://ror.org/009m79n22","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090857","https://openalex.org/I4210092184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandip Bose","raw_affiliation_strings":["Schlumberger-Doll Research Center, Cambridge, MA, USA","Schlumberger Doll Research, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Schlumberger-Doll Research Center, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210090857"]},{"raw_affiliation_string":"Schlumberger Doll Research, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210090857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110209021","display_name":"Henri\u2010Pierre Valero","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090857","display_name":"Schlumberger (United States)","ror":"https://ror.org/009m79n22","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090857","https://openalex.org/I4210092184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henri-Pierre Valero","raw_affiliation_strings":["Schlumberger-Doll Research Center, Cambridge, MA, USA","Schlumberger Doll Research, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Schlumberger-Doll Research Center, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210090857"]},{"raw_affiliation_string":"Schlumberger Doll Research, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210090857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004738943"],"corresponding_institution_ids":["https://openalex.org/I121934306"],"apc_list":null,"apc_paid":null,"fwci":0.2714,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59373698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"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/slowness","display_name":"Slowness","score":0.8194239139556885},{"id":"https://openalex.org/keywords/radon","display_name":"Radon","score":0.7220545411109924},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.716683030128479},{"id":"https://openalex.org/keywords/radon-transform","display_name":"Radon transform","score":0.7066872119903564},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5874351859092712},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.550035297870636},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.5057601928710938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4790455102920532},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4133807420730591},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.41337910294532776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2950192391872406},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22341248393058777},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.15611368417739868},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12089657783508301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1177082359790802}],"concepts":[{"id":"https://openalex.org/C11940443","wikidata":"https://www.wikidata.org/wiki/Q16965645","display_name":"Slowness","level":2,"score":0.8194239139556885},{"id":"https://openalex.org/C545943180","wikidata":"https://www.wikidata.org/wiki/Q1133","display_name":"Radon","level":2,"score":0.7220545411109924},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.716683030128479},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.7066872119903564},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5874351859092712},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.550035297870636},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.5057601928710938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4790455102920532},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4133807420730591},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.41337910294532776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2950192391872406},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22341248393058777},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.15611368417739868},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12089657783508301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1177082359790802},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2012.6319642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","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":8,"referenced_works":["https://openalex.org/W1535724155","https://openalex.org/W2032013306","https://openalex.org/W2151391546","https://openalex.org/W2169894018","https://openalex.org/W2571113380","https://openalex.org/W4285719527","https://openalex.org/W4292170079","https://openalex.org/W6731611760"],"related_works":["https://openalex.org/W3103461978","https://openalex.org/W2356299150","https://openalex.org/W4378230892","https://openalex.org/W2003964906","https://openalex.org/W4389273484","https://openalex.org/W2144966994","https://openalex.org/W3017010751","https://openalex.org/W2168615451","https://openalex.org/W1984459742","https://openalex.org/W2564629062"],"abstract_inverted_index":{"In":[0],"this":[1,80],"work":[2],"we":[3,40],"present":[4],"methods":[5],"and":[6,15,51,100,103],"strategies":[7],"for":[8,79],"robust":[9],"detection":[10],"of":[11,67,75],"weak":[12],"compressional":[13],"(P)":[14],"shear":[16],"(S)":[17],"wave":[18],"arrivals":[19],"in":[20,24,28,58,71,90,107],"acoustic":[21],"data":[22,102],"collected":[23],"subsurface":[25],"oilwells":[26],"especially":[27],"noisy":[29],"environments":[30],"such":[31],"as":[32],"with":[33],"logging":[34],"while":[35],"drilling":[36],"(LWD)":[37],"acquisition.":[38],"First,":[39],"propose":[41],"a":[42,72,84],"novel":[43],"de-noising":[44],"method":[45],"to":[46],"combat":[47],"random":[48],"additive":[49],"noise":[50],"reflections":[52],"by":[53],"employing":[54],"space":[55],"time":[56],"shrinkage":[57,77],"the":[59,87],"Discrete":[60],"Radon":[61],"Transform":[62],"(DRT)":[63],"domain.":[64],"The":[65,94],"novelty":[66],"our":[68],"approach":[69],"lies":[70],"proposed":[73],"class":[74],"space-time":[76],"operators":[78],"purpose":[81],"derived":[82],"from":[83],"quantity":[85],"called":[86],"semblance":[88],"used":[89],"velocity":[91],"(slowness)":[92],"processing.":[93],"algorithm":[95],"is":[96],"validated":[97],"on":[98],"synthetic":[99],"real":[101],"shows":[104],"significant":[105],"improvement":[106],"log":[108],"coverage.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
