{"title":"基于低能量IMF的音频速记新技术","authors":"S. alZahir, Md. Wahedul Islam","doi":"10.1109/ICCE.2013.6486908","DOIUrl":null,"url":null,"abstract":"We present a new audio steganographic technique based on empirical mode decomposition and Hilbert Transform. The audio signal is decomposed into several intrinsic mode functions to be the addressee for the payload of a QR code. Our results show that the proposed method is robust against common audio processing attacks.","PeriodicalId":6432,"journal":{"name":"2013 IEEE International Conference on Consumer Electronics (ICCE)","volume":"92 4 1","pages":"316-317"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new low energy IMF based audio stenographic technique\",\"authors\":\"S. alZahir, Md. Wahedul Islam\",\"doi\":\"10.1109/ICCE.2013.6486908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a new audio steganographic technique based on empirical mode decomposition and Hilbert Transform. The audio signal is decomposed into several intrinsic mode functions to be the addressee for the payload of a QR code. Our results show that the proposed method is robust against common audio processing attacks.\",\"PeriodicalId\":6432,\"journal\":{\"name\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"92 4 1\",\"pages\":\"316-317\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2013.6486908\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2013.6486908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new low energy IMF based audio stenographic technique
We present a new audio steganographic technique based on empirical mode decomposition and Hilbert Transform. The audio signal is decomposed into several intrinsic mode functions to be the addressee for the payload of a QR code. Our results show that the proposed method is robust against common audio processing attacks.
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