{"title":"加性马尔可夫信道上相关马尔可夫信源的最优信道解码器","authors":"M. A. Haleem, K.P. Subbalakshmi","doi":"10.1109/DCC.2007.64","DOIUrl":null,"url":null,"abstract":"In this paper we propose an optimal joint source channel decoder (JSCD) for two mutually correlated sources each having memory that can be represented by first order Markov processes, and are transmitted through channels with memory representing slow fading wireless channels. We use the additive Markov channel (AMC) model and multiple access source codes (MASC)","PeriodicalId":234035,"journal":{"name":"2007 Data Compression Conference (DCC'07)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Source-Channel Decoder for Correlated Markov Sources over Additive Markov Channels\",\"authors\":\"M. A. Haleem, K.P. Subbalakshmi\",\"doi\":\"10.1109/DCC.2007.64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose an optimal joint source channel decoder (JSCD) for two mutually correlated sources each having memory that can be represented by first order Markov processes, and are transmitted through channels with memory representing slow fading wireless channels. We use the additive Markov channel (AMC) model and multiple access source codes (MASC)\",\"PeriodicalId\":234035,\"journal\":{\"name\":\"2007 Data Compression Conference (DCC'07)\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Data Compression Conference (DCC'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.2007.64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Data Compression Conference (DCC'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2007.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Source-Channel Decoder for Correlated Markov Sources over Additive Markov Channels
In this paper we propose an optimal joint source channel decoder (JSCD) for two mutually correlated sources each having memory that can be represented by first order Markov processes, and are transmitted through channels with memory representing slow fading wireless channels. We use the additive Markov channel (AMC) model and multiple access source codes (MASC)