{"id":"https://openalex.org/W2103038974","doi":"https://doi.org/10.1109/isit.2004.1365501","title":"Coding unstable scalar markov processes into two streams","display_name":"Coding unstable scalar markov processes into two streams","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2103038974","doi":"https://doi.org/10.1109/isit.2004.1365501","mag":"2103038974"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2004.1365501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2004.1365501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","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/A5079317491","display_name":"Anant Sahai","orcid":"https://orcid.org/0000-0001-9263-7719"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Sahai","raw_affiliation_strings":["EECS, University of California Berkeley, USA"],"affiliations":[{"raw_affiliation_string":"EECS, University of California Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079317491"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.15458519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"464","last_page":"464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.98580002784729,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.98580002784729,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9724000096321106,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.6577805876731873},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6207094192504883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.504804253578186},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.4950808584690094},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.4897637367248535},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4881635308265686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46895402669906616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46491628885269165},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.45621103048324585},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.44103625416755676},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.431831032037735},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.40676993131637573},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.3476930558681488},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2946881055831909},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07159760594367981}],"concepts":[{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6577805876731873},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6207094192504883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.504804253578186},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.4950808584690094},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.4897637367248535},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4881635308265686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46895402669906616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46491628885269165},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.45621103048324585},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.44103625416755676},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.431831032037735},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.40676993131637573},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.3476930558681488},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2946881055831909},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07159760594367981},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2004.1365501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2004.1365501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.59.6475","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.6475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.berkeley.edu/~sahai/Papers/myisit2004.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1889458647","https://openalex.org/W2065386000","https://openalex.org/W2109400143","https://openalex.org/W2110478863","https://openalex.org/W2135469284","https://openalex.org/W2142901448","https://openalex.org/W2159649593","https://openalex.org/W4205855417","https://openalex.org/W4234868381"],"related_works":["https://openalex.org/W1413489299","https://openalex.org/W2148508315","https://openalex.org/W2120182993","https://openalex.org/W3126873283","https://openalex.org/W2101208289","https://openalex.org/W2540690809","https://openalex.org/W4376457996","https://openalex.org/W2393621008","https://openalex.org/W4317465184","https://openalex.org/W2050833135"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3],"encoding":[4],"of":[5],"a":[6,35],"scalar":[7],"unstable":[8],"Markov":[9,22],"process":[10],"into":[11],"two":[12],"parallel":[13],"fixed-rate":[14],"bit":[15],"streams.":[16],"Source":[17],"coding":[18],"theorems":[19],"for":[20],"stable":[21],"and":[23],"Gaussian":[24],"auto-regressive":[25],"processes":[26],"(ARMA":[27],"process)":[28],"under":[29],"mean-squared-error":[30],"distortion":[31],"used":[32],"in":[33],"calculating":[34],"standard":[36],"information-theoretic":[37],"rate-distortion":[38],"function.":[39]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}