{"title":"多维信号差分脉冲码调制插补器参数空间降维","authors":"A. Maksimov, M. Gashnikov","doi":"10.1109/ISDFS.2019.8757494","DOIUrl":null,"url":null,"abstract":"In this paper, new parameterized differential pulse-code modulation interpolator is proposed. It uses the correspondence of signal samples in the processed sample vicinity to select the interpolation method. Interpolation error of proposed interpolator is minimized during the optimization procedure. Before the optimization, the parameter range dimension is reduced in order to lower the computational complexity. Experimental research shows that proposed interpolator outperforms the non-parameterized one","PeriodicalId":247412,"journal":{"name":"2019 7th International Symposium on Digital Forensics and Security (ISDFS)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parameter space dimension reduction for multidimensional signals differential pulse-code modulation interpolator\",\"authors\":\"A. Maksimov, M. Gashnikov\",\"doi\":\"10.1109/ISDFS.2019.8757494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, new parameterized differential pulse-code modulation interpolator is proposed. It uses the correspondence of signal samples in the processed sample vicinity to select the interpolation method. Interpolation error of proposed interpolator is minimized during the optimization procedure. Before the optimization, the parameter range dimension is reduced in order to lower the computational complexity. Experimental research shows that proposed interpolator outperforms the non-parameterized one\",\"PeriodicalId\":247412,\"journal\":{\"name\":\"2019 7th International Symposium on Digital Forensics and Security (ISDFS)\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 7th International Symposium on Digital Forensics and Security (ISDFS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDFS.2019.8757494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Symposium on Digital Forensics and Security (ISDFS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDFS.2019.8757494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parameter space dimension reduction for multidimensional signals differential pulse-code modulation interpolator
In this paper, new parameterized differential pulse-code modulation interpolator is proposed. It uses the correspondence of signal samples in the processed sample vicinity to select the interpolation method. Interpolation error of proposed interpolator is minimized during the optimization procedure. Before the optimization, the parameter range dimension is reduced in order to lower the computational complexity. Experimental research shows that proposed interpolator outperforms the non-parameterized one