{"title":"前馈源编码:高斯源","authors":"S. Pradhan","doi":"10.1109/ISIT.2004.1365249","DOIUrl":null,"url":null,"abstract":"This paper describes the source coding of the information signals with feedforward Gaussian sources. A stationary memoryless Gaussian source with zero-mean and variance, and with mean squared error as the distortion measure, gives a deterministic scheme that achieves the optimal rate-distortion bound using simple uniform scalar quantizers. To reconstruct source codes, the decoder uses the optimal Shannon rate-distortion function and achieves channel coding with feedback.","PeriodicalId":92224,"journal":{"name":"International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications","volume":"19 1","pages":"212"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Source coding with feedforward: Gaussian sources\",\"authors\":\"S. Pradhan\",\"doi\":\"10.1109/ISIT.2004.1365249\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the source coding of the information signals with feedforward Gaussian sources. A stationary memoryless Gaussian source with zero-mean and variance, and with mean squared error as the distortion measure, gives a deterministic scheme that achieves the optimal rate-distortion bound using simple uniform scalar quantizers. To reconstruct source codes, the decoder uses the optimal Shannon rate-distortion function and achieves channel coding with feedback.\",\"PeriodicalId\":92224,\"journal\":{\"name\":\"International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications\",\"volume\":\"19 1\",\"pages\":\"212\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2004.1365249\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2004.1365249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes the source coding of the information signals with feedforward Gaussian sources. A stationary memoryless Gaussian source with zero-mean and variance, and with mean squared error as the distortion measure, gives a deterministic scheme that achieves the optimal rate-distortion bound using simple uniform scalar quantizers. To reconstruct source codes, the decoder uses the optimal Shannon rate-distortion function and achieves channel coding with feedback.