{"id":"https://openalex.org/W2027865144","doi":"https://doi.org/10.1109/icassp.2013.6638933","title":"Knowledge-enhanced Matching Pursuit","display_name":"Knowledge-enhanced Matching Pursuit","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2027865144","doi":"https://doi.org/10.1109/icassp.2013.6638933","mag":"2027865144"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053809095","display_name":"Yuejie Chi","orcid":"https://orcid.org/0000-0002-6766-5459"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuejie Chi","raw_affiliation_strings":["Electrical and Computer Engineering, Ohio State University, USA","Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037795370","display_name":"Robert Calderbank","orcid":"https://orcid.org/0000-0003-2084-9717"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Calderbank","raw_affiliation_strings":["Electrical and Computer Engineering, Duke University, USA","Electr. & Comput. Eng, Duke Univ., Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Duke University, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Electr. & Comput. Eng, Duke Univ., Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6576","last_page":"6580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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":0.9589289426803589},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7345152497291565},{"id":"https://openalex.org/keywords/restricted-isometry-property","display_name":"Restricted isometry property","score":0.6912716627120972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6547030806541443},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5593873262405396},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5338305830955505},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5283368825912476},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.49805498123168945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49663740396499634},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4951590597629547},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.45611047744750977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43234118819236755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37074875831604004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33977049589157104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22370082139968872},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.13082104921340942},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09062895178794861}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.9589289426803589},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7345152497291565},{"id":"https://openalex.org/C17902559","wikidata":"https://www.wikidata.org/wiki/Q17099734","display_name":"Restricted isometry property","level":3,"score":0.6912716627120972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6547030806541443},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5593873262405396},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5338305830955505},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5283368825912476},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.49805498123168945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49663740396499634},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4951590597629547},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.45611047744750977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43234118819236755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37074875831604004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33977049589157104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22370082139968872},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.13082104921340942},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09062895178794861},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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":21,"referenced_works":["https://openalex.org/W276478090","https://openalex.org/W1492288302","https://openalex.org/W1945715282","https://openalex.org/W1985694088","https://openalex.org/W2026443321","https://openalex.org/W2039479881","https://openalex.org/W2051478494","https://openalex.org/W2078204800","https://openalex.org/W2119583852","https://openalex.org/W2123457453","https://openalex.org/W2127271355","https://openalex.org/W2145096794","https://openalex.org/W2169027722","https://openalex.org/W2952794799","https://openalex.org/W2963653648","https://openalex.org/W2964307271","https://openalex.org/W3104197796","https://openalex.org/W6610156589","https://openalex.org/W6640810923","https://openalex.org/W6646793203","https://openalex.org/W6656937794"],"related_works":["https://openalex.org/W2436826437","https://openalex.org/W2169904627","https://openalex.org/W1974198688","https://openalex.org/W1848313300","https://openalex.org/W2388133936","https://openalex.org/W1759790807","https://openalex.org/W3015194228","https://openalex.org/W4385694579","https://openalex.org/W2381127329","https://openalex.org/W2371951202"],"abstract_inverted_index":{"Compressive":[0],"Sensing":[1],"is":[2,34,76,114],"possible":[3],"when":[4],"the":[5,45,48,56,79,93,98,101],"sensing":[6,49,102],"matrix":[7,50],"acts":[8],"as":[9,30,95,97,109],"a":[10,73,110],"near":[11],"isometry":[12],"on":[13,89],"signals":[14],"of":[15,26,43,47,72,100,112],"interest":[16],"that":[17,75,107],"can":[18],"be":[19],"sparsely":[20],"or":[21],"compressively":[22],"represented.":[23],"The":[24],"attraction":[25],"greedy":[27],"algorithms":[28,68],"such":[29],"Orthogonal":[31],"Matching":[32],"Pursuit":[33],"their":[35],"simplicity.":[36],"However":[37],"they":[38],"fail":[39],"to":[40,65,69,116],"take":[41],"advantage":[42],"both":[44],"structure":[46,99],"and":[51],"any":[52],"prior":[53,90],"information":[54,91],"about":[55,92],"sparse":[57],"signal.":[58],"This":[59],"paper":[60],"introduces":[61],"an":[62],"oblique":[63],"projector":[64],"matching":[66,118],"pursuit":[67],"enhance":[70],"detection":[71],"component":[74],"present":[77],"in":[78],"signal":[80,94],"by":[81],"reducing":[82],"interference":[83],"from":[84],"other":[85],"candidate":[86],"components":[87],"based":[88],"well":[96],"matrix.":[103],"Numerical":[104],"examples":[105],"demonstrate":[106],"performance":[108],"function":[111],"SNR":[113],"superior":[115],"conventional":[117],"pursuit.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
