{"title":"图像传输中基于高斯近似的不等错保护低密度校验码设计","authors":"Piming Ma, K. Kwak","doi":"10.1109/WCNC.2009.4918009","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a scheme to design unequal error protection low-density parity-check (UEP-LDPC) codes based on Gaussian approximation algorithm over AWGN channel. Using this method, we can find effective UEP-LDPC code ensemble which has good overall performance and good UEP property. Simulation results show the superiority of the proposed UEP-LDPC code in improving the quality of reconstructed image in uncompressed image and set partitioning into hierarchical trees (SPIHT) coded image transmission.","PeriodicalId":186150,"journal":{"name":"2009 IEEE Wireless Communications and Networking Conference","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Unequal Error Protection Low-Density Parity-Check Codes Design Based on Gaussian Approximation in Image Transmission\",\"authors\":\"Piming Ma, K. Kwak\",\"doi\":\"10.1109/WCNC.2009.4918009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a scheme to design unequal error protection low-density parity-check (UEP-LDPC) codes based on Gaussian approximation algorithm over AWGN channel. Using this method, we can find effective UEP-LDPC code ensemble which has good overall performance and good UEP property. Simulation results show the superiority of the proposed UEP-LDPC code in improving the quality of reconstructed image in uncompressed image and set partitioning into hierarchical trees (SPIHT) coded image transmission.\",\"PeriodicalId\":186150,\"journal\":{\"name\":\"2009 IEEE Wireless Communications and Networking Conference\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Wireless Communications and Networking Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCNC.2009.4918009\",\"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 IEEE Wireless Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNC.2009.4918009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Unequal Error Protection Low-Density Parity-Check Codes Design Based on Gaussian Approximation in Image Transmission
In this paper, we propose a scheme to design unequal error protection low-density parity-check (UEP-LDPC) codes based on Gaussian approximation algorithm over AWGN channel. Using this method, we can find effective UEP-LDPC code ensemble which has good overall performance and good UEP property. Simulation results show the superiority of the proposed UEP-LDPC code in improving the quality of reconstructed image in uncompressed image and set partitioning into hierarchical trees (SPIHT) coded image transmission.