{"title":"前馈马尔可夫源有损编码的可实现性证明","authors":"S. Asoodeh, F. Alajaji, T. Linder","doi":"10.1109/CWIT.2013.6621594","DOIUrl":null,"url":null,"abstract":"The lossy source coding problem with feed-forward link was recently introduced in [1] and the corresponding rate-distortion function was derived in [2] and [3] for stationary and ergodic sources and for arbitrary sources with memory, respectively. The achievability schemes of [2] and [3] are mainly based on codetrees. In this work, we give an alternative proof of achievability for binary asymmetric Markov sources via a simple coding scheme that utilizes optimal lossy coding for Bernoulli sources. We then generalize this coding scheme for m-ary Markov sources and show its optimality for the distortion region where the Shannon lower bound is tight.","PeriodicalId":398936,"journal":{"name":"2013 13th Canadian Workshop on Information Theory","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An achievability proof for the lossy coding of Markov sources with feed-forward\",\"authors\":\"S. Asoodeh, F. Alajaji, T. Linder\",\"doi\":\"10.1109/CWIT.2013.6621594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The lossy source coding problem with feed-forward link was recently introduced in [1] and the corresponding rate-distortion function was derived in [2] and [3] for stationary and ergodic sources and for arbitrary sources with memory, respectively. The achievability schemes of [2] and [3] are mainly based on codetrees. In this work, we give an alternative proof of achievability for binary asymmetric Markov sources via a simple coding scheme that utilizes optimal lossy coding for Bernoulli sources. We then generalize this coding scheme for m-ary Markov sources and show its optimality for the distortion region where the Shannon lower bound is tight.\",\"PeriodicalId\":398936,\"journal\":{\"name\":\"2013 13th Canadian Workshop on Information Theory\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 13th Canadian Workshop on Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CWIT.2013.6621594\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 13th Canadian Workshop on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CWIT.2013.6621594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An achievability proof for the lossy coding of Markov sources with feed-forward
The lossy source coding problem with feed-forward link was recently introduced in [1] and the corresponding rate-distortion function was derived in [2] and [3] for stationary and ergodic sources and for arbitrary sources with memory, respectively. The achievability schemes of [2] and [3] are mainly based on codetrees. In this work, we give an alternative proof of achievability for binary asymmetric Markov sources via a simple coding scheme that utilizes optimal lossy coding for Bernoulli sources. We then generalize this coding scheme for m-ary Markov sources and show its optimality for the distortion region where the Shannon lower bound is tight.