{"title":"一种新的设计简单的标量量化器,适用于任何分布","authors":"C. Diab, M. Oueidat","doi":"10.1109/ICECS.2009.5410760","DOIUrl":null,"url":null,"abstract":"In this paper, we present a simple quantizer “Sub-optimal” that can be applied for any probability distribution. The principle and the calculation of this quantizer are detailed. Its implementation shows that this method achieves significant results compared with other quantizer in term of mean square error distortion.","PeriodicalId":343974,"journal":{"name":"2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new simply-designed scalar quantizer adaptable for any distribution\",\"authors\":\"C. Diab, M. Oueidat\",\"doi\":\"10.1109/ICECS.2009.5410760\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a simple quantizer “Sub-optimal” that can be applied for any probability distribution. The principle and the calculation of this quantizer are detailed. Its implementation shows that this method achieves significant results compared with other quantizer in term of mean square error distortion.\",\"PeriodicalId\":343974,\"journal\":{\"name\":\"2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)\",\"volume\":\"140 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS.2009.5410760\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2009.5410760","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new simply-designed scalar quantizer adaptable for any distribution
In this paper, we present a simple quantizer “Sub-optimal” that can be applied for any probability distribution. The principle and the calculation of this quantizer are detailed. Its implementation shows that this method achieves significant results compared with other quantizer in term of mean square error distortion.