{"id":"https://openalex.org/W2140975807","doi":"https://doi.org/10.1109/tcom.1979.1094472","title":"Maximum Likelihood Sequence Estimation for Randomly Dispersive Channels","display_name":"Maximum Likelihood Sequence Estimation for Randomly Dispersive Channels","publication_year":1979,"publication_date":"1979-06-01","ids":{"openalex":"https://openalex.org/W2140975807","doi":"https://doi.org/10.1109/tcom.1979.1094472","mag":"2140975807"},"language":"en","primary_location":{"id":"doi:10.1109/tcom.1979.1094472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcom.1979.1094472","pdf_url":null,"source":{"id":"https://openalex.org/S4210170832","display_name":"IRE Transactions on Communications Systems","issn_l":"0096-2244","issn":["0096-2244","2162-2132"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","raw_type":"journal-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/A5055657287","display_name":"Robert E. Morley","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Morley","raw_affiliation_strings":["Micro-Term, Inc., Saint Louis, MO, USA","Micro-Term, Inc., St.Louis, MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Micro-Term, Inc., Saint Louis, MO, USA","institution_ids":[]},{"raw_affiliation_string":"Micro-Term, Inc., St.Louis, MO","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111749958","display_name":"Donald L. Snyder","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Snyder","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1893,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.8117387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":"6","first_page":"833","last_page":"839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9983000159263611,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5589679479598999},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5440823435783386},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5329360365867615},{"id":"https://openalex.org/keywords/maximum-likelihood-sequence-estimation","display_name":"Maximum likelihood sequence estimation","score":0.446557879447937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41616207361221313},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41250959038734436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40273159742355347},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34038668870925903},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.2379331886768341},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11205899715423584},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09449559450149536}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5589679479598999},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5440823435783386},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5329360365867615},{"id":"https://openalex.org/C191462741","wikidata":"https://www.wikidata.org/wiki/Q6795902","display_name":"Maximum likelihood sequence estimation","level":3,"score":0.446557879447937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41616207361221313},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41250959038734436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40273159742355347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34038668870925903},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2379331886768341},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11205899715423584},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09449559450149536},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcom.1979.1094472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcom.1979.1094472","pdf_url":null,"source":{"id":"https://openalex.org/S4210170832","display_name":"IRE Transactions on Communications Systems","issn_l":"0096-2244","issn":["0096-2244","2162-2132"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W16549305","https://openalex.org/W1601098595","https://openalex.org/W1991133427","https://openalex.org/W2079073804","https://openalex.org/W2103435373","https://openalex.org/W2131086249","https://openalex.org/W2140975807","https://openalex.org/W2142384583","https://openalex.org/W2151082995","https://openalex.org/W2800750158","https://openalex.org/W4238721329","https://openalex.org/W4256260915","https://openalex.org/W6648030544"],"related_works":["https://openalex.org/W1922851888","https://openalex.org/W2406961220","https://openalex.org/W2112284452","https://openalex.org/W2132869870","https://openalex.org/W1976985527","https://openalex.org/W1993278628","https://openalex.org/W1575933530","https://openalex.org/W2046260256","https://openalex.org/W2156276259","https://openalex.org/W73712273"],"abstract_inverted_index":{"Receiver":[0],"designs":[1],"for":[2],"maximum":[3],"likelihood":[4],"sequence":[5,99,120],"estimation":[6],"of":[7,26,42,53,62,65,105,109,121],"digital":[8],"data":[9],"transmission":[10],"through":[11],"randomly":[12],"dispersive":[13],"channels":[14,19,67,78,87],"are":[15,20,69],"developed.":[16],"The":[17,97],"random":[18],"constrained":[21],"to":[22],"have":[23,82],"finite":[24,83],"memory":[25],"duration":[27],"<tex":[28,58,112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[29,59,113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</tex>":[30],"in":[31],"the":[32,35,43,55,66,70,90,118],"sense":[33],"that":[34],"casual":[36],"minimum":[37],"mean":[38],"square":[39],"error":[40],"estimate":[41],"channel":[44],"output":[45,119],"at":[46],"any":[47],"given":[48],"time":[49,71],"is":[50],"a":[51,103,122],"function":[52],"only":[54],"most":[56],"recent":[57],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">LT</tex>":[60],"seconds":[61],"observations.":[63],"Examples":[64],"included":[68],"varying":[72],"Rayleigh,":[73],"Rician":[74],"and":[75,93],"lognormal":[76],"fading":[77],"whose":[79],"covariance":[80],"functions":[81],"support,":[84],"phase":[85],"unsynchronized":[86],"which":[88],"satisfy":[89],"finite-memory":[91],"constraint":[92],"point":[94],"process":[95],"channels.":[96],"information":[98],"may":[100],"be":[101],"either":[102],"stream":[104],"independent,":[106],"equally-likely":[107],"symbols":[108],"binary":[110],"or":[111,117,124],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M</tex>":[114],"-ary":[115],"alphabets":[116],"trellis":[123],"convolutional":[125],"encoder.":[126]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}