语音信号的数字化混沌遮掩传输及其盲提取  

Digital chaos cover transport and blind extraction of speech signal

作　　者：陈新武[1] 王尔馥[1] 

机构地区：[1]黑龙江大学电子工程学院,哈尔滨150080

出　　处：《黑龙江大学工程学报》2017年第2期69-75,共7页Journal of Engineering of Heilongjiang University

基　　金：国家自然科学基金资助项目(61571181);博士后研究人员落户黑龙江科研启动资助金项目(LBH-Q14136)

摘　　要：信息隐藏技术以其不可感知性、不可检测性及鲁棒性,在保密通信领域获得了比密码学更广泛的应用。在数字化背景下,利用小波变换分析混沌信号和语音信号的时频能量聚集特性,以混沌信号作为载体,使其对语音信号进行遮掩隐藏,对提高混沌保密通信系统的自身安全性具有重要的理论和实际意义。将混沌遮掩后的语音信号进行保密传输并在接收端进行有效的盲提取,并在不同信噪比情况下对比分析误码率和相似系数,以此来验证算法的有效性。Information hiding technology is more widely used than cryptography in the secure communication, which is based on its nonsense, non-detection and robustness. Under the digital background, uses wavelet transform to analyze chaotic signal and speech signal time-frequency energy aggregation characteristics using chaotic signal as the carrier and the speech signal to cover up the hidden, which has important theoretical and practical significance to improve the safety of chaotic secure communication system itself. Make the speech signal of chaos after covering the confidentiality transmitted, have effective blind extraction at the receiving end, and compare to analyze bit error rate and similarity coefficient, which is used to verify the validity of the algorithm.

关 键 词：混沌信号 语音信号 小波变换 盲提取 遮掩 

分 类 号：TN910[电子电信—通信与信息系统]