{"id":"https://openalex.org/W1966029982","doi":"https://doi.org/10.1109/apsipa.2014.7041724","title":"Target design and low complexity signal detection for two-dimensional magnetic recording","display_name":"Target design and low complexity signal detection for two-dimensional magnetic recording","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1966029982","doi":"https://doi.org/10.1109/apsipa.2014.7041724","mag":"1966029982"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2014.7041724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","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/A5035608564","display_name":"Chaitanya Kumar Matcha","orcid":"https://orcid.org/0000-0002-0664-9658"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Chaitanya Kumar Matcha","raw_affiliation_strings":["Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India","Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore \u2013 560012, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore \u2013 560012, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077083409","display_name":"Shayan Garani Srinivasa","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shayan Garani Srinivasa","raw_affiliation_strings":["Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India","Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore \u2013 560012, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore \u2013 560012, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035608564"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":2.0451,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88656425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"39","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.8533929586410522},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.8190126419067383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6769546866416931},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.6150065660476685},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6111793518066406},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6051812171936035},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4793163537979126},{"id":"https://openalex.org/keywords/intersymbol-interference","display_name":"Intersymbol interference","score":0.46071845293045044},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.4544752240180969},{"id":"https://openalex.org/keywords/maximum-likelihood-sequence-estimation","display_name":"Maximum likelihood sequence estimation","score":0.4414185583591461},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.43626129627227783},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42536744475364685},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37690576910972595},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3633263111114502},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.34665706753730774},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3377835154533386},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.199813574552536},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.17535141110420227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16006332635879517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13259315490722656},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09117010235786438}],"concepts":[{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.8533929586410522},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8190126419067383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769546866416931},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.6150065660476685},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6111793518066406},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6051812171936035},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4793163537979126},{"id":"https://openalex.org/C97812054","wikidata":"https://www.wikidata.org/wiki/Q2166055","display_name":"Intersymbol interference","level":3,"score":0.46071845293045044},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.4544752240180969},{"id":"https://openalex.org/C191462741","wikidata":"https://www.wikidata.org/wiki/Q6795902","display_name":"Maximum likelihood sequence estimation","level":3,"score":0.4414185583591461},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.43626129627227783},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42536744475364685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37690576910972595},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3633263111114502},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.34665706753730774},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3377835154533386},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.199813574552536},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.17535141110420227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16006332635879517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13259315490722656},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09117010235786438},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/apsipa.2014.7041724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1597836871","https://openalex.org/W1974789378","https://openalex.org/W1979520705","https://openalex.org/W1991133427","https://openalex.org/W2058953255","https://openalex.org/W2075022818","https://openalex.org/W2089086595","https://openalex.org/W2119411189","https://openalex.org/W2124901934","https://openalex.org/W2129901632","https://openalex.org/W2131086249","https://openalex.org/W2141133891","https://openalex.org/W2141284907","https://openalex.org/W2152249641","https://openalex.org/W2154661269","https://openalex.org/W2171537285","https://openalex.org/W6685000772"],"related_works":["https://openalex.org/W2161860657","https://openalex.org/W4244440261","https://openalex.org/W2106068791","https://openalex.org/W2112804949","https://openalex.org/W2164934072","https://openalex.org/W2089963292","https://openalex.org/W1998055811","https://openalex.org/W2024650855","https://openalex.org/W2127945359","https://openalex.org/W2146096468"],"abstract_inverted_index":{"Partial":[0],"response":[1],"maximum":[2,31],"likelihood":[3,32],"(PRML)":[4],"scheme":[5,23],"is":[6,37],"a":[7,25,30,92],"well":[8],"known":[9],"technique":[10],"to":[11,50,83],"equalize":[12],"the":[13,41,81,85],"data":[14],"read":[15],"from":[16],"ID":[17,69],"magnetic":[18],"recording":[19],"channels.":[20,78],"The":[21],"PRML":[22],"uses":[24],"linear":[26],"equalizer":[27],"followed":[28],"by":[29],"(ML)":[33],"detector.":[34],"This":[35],"paper":[36],"novel":[38],"in":[39,60,75],"addressing":[40],"following":[42],"aspects:":[43],"a)":[44],"We":[45,64,79],"propose":[46,65],"two":[47],"different":[48],"methods":[49],"design":[51],"separable":[52],"and":[53],"non-separable":[54],"2D":[55,76,96],"PR":[56,88],"targets":[57,89],"that":[58],"help":[59],"signal":[61,73],"detection,":[62],"b)":[63],"an":[66],"extension":[67],"of":[68,87,95],"Viterbi":[70],"detector":[71,82],"for":[72,91],"detection":[74],"ISI":[77,97],"use":[80],"study":[84],"efficacy":[86],"designed":[90],"particular":[93],"choice":[94],"channel.":[98]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}