{"title":"移动图像传输系统中交织与小波消噪相结合的性能","authors":"Li-Fang Peng, D. Yuan, Zhu-Wei Li, Dai-Fei Guo","doi":"10.1109/PIMRC.2000.881425","DOIUrl":null,"url":null,"abstract":"This paper employs the four-state Markov models as the long-bursting error probability models over mobile fast-fading channels. The (2,1,7) convolutional codes with Viterbi (1971) decoding and the wavelet noise cancellation are combined as a new error-correcting scheme, whose performance in image communication system over mobile fast-fading channels is researched.","PeriodicalId":301441,"journal":{"name":"11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Performance of the combination of interleaving and wavelet noise cancellation in mobile image transmission system\",\"authors\":\"Li-Fang Peng, D. Yuan, Zhu-Wei Li, Dai-Fei Guo\",\"doi\":\"10.1109/PIMRC.2000.881425\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper employs the four-state Markov models as the long-bursting error probability models over mobile fast-fading channels. The (2,1,7) convolutional codes with Viterbi (1971) decoding and the wavelet noise cancellation are combined as a new error-correcting scheme, whose performance in image communication system over mobile fast-fading channels is researched.\",\"PeriodicalId\":301441,\"journal\":{\"name\":\"11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIMRC.2000.881425\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2000.881425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance of the combination of interleaving and wavelet noise cancellation in mobile image transmission system
This paper employs the four-state Markov models as the long-bursting error probability models over mobile fast-fading channels. The (2,1,7) convolutional codes with Viterbi (1971) decoding and the wavelet noise cancellation are combined as a new error-correcting scheme, whose performance in image communication system over mobile fast-fading channels is researched.