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一种新的图像脆弱水印算法李亚琴 ，孙星明 ，杨恒伏(1．苏州市职业大学，江苏苏州215104；2．湖南大学计算机与通信学院，湖南长沙410082)摘要：提出一种基于小波变换和QR分解的图像脆弱水即方法。嵌入水印时，首先对原始图像进行三级小波分解，然后提取第三级低频子带的边缘特征，同时对此边缘特征和第三级垂直高频子带进行QR分解，用边缘特征的一部分分解结果替换垂直高频子带分解结果的相应部位来嵌入水即，最后进行小波逆变换得到嵌入水印的图像。图像认证时，首先对观测图像进行三级小波分解，第三级垂直高频子
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彩色图像的篡改检测及自恢复算法赵春晖，孙建军，朱海峰(哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨150001)摘要：数字水印是图像认证的有效手段之一．利用小波变换提出一种计算简单的彩色图像水印算法，将一个图像的主要内容嵌入该图像自身之中，用均值量化的方法在亮度信号中嵌入水印，实现篡改检测和定位篡改区域；用多余的色度空间嵌入亮度信号和色度信号，用于恢复被篡改的图像内容．该算法可以获取较高的峰值信噪比，具有很好的鲁棒性．实验结果表明，该算法对删除、替换等恶意图像篡改具有良好的检测、定位和自修复能
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利用串口或者蓝牙的通信方式将采集到的心电数据绘制成波形，并与matlab混合编程实现小波分析-Using serial or Bluetooth communication will be collected ECG data plotted waveform, and Hybrid Programming with matlab wavelet analysis
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A paper that I presented on Supervisory Control and Data Acquisition (SCADA) won the second prize at the symposium conducted by the Electrical and Electronics Engineering department of the SRM University. Other topics on which I presented papers were
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A paper that I presented on Supervisory Control and Data Acquisition (SCADA) won the second prize at the symposium conducted by the Electrical and Electronics Engineering department of the SRM University. Other topics on which I presented papers were
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A paper that I presented on Supervisory Control and Data Acquisition (SCADA) won the second prize at the symposium conducted by the Electrical and Electronics Engineering department of the SRM University. Other topics on which I presented papers were
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A e book helpfull for communication people especially wavelet analysis.please see and read.-A e book helpfull for communication people especially wavelet analysis.please see and read.
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SPEECH ENHANCEMENT BASED ON WAVELET DENOISING
Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is
non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
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一些最新的关于小波域通信系统的国内外文献，都是从最新的和维普的数据库中下载的，与同行们共享！-Some of the latest communication system on the wavelet domain of the domestic and foreign literature, and from the latest VIP to download the database and shared with colleagues!
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这是一篇现代通信原理课程的作业报告.题目为几种时频分析方法比较及应用.详细介绍了短时傅里叶变换、小波变换、魏格纳—威利分布和Cohen类时频分布这4种典型时频分析方法,并作了比较-This is a modern communication Principle operating report. Entitled Comparison of several time-frequency analysis and 应用. 详细 Jieshao the short time Fourier tran
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利用小波变换进行通信信道自试验均衡，介绍了算法设计理论并给出了算法详细描述及实验结果。-Wavelet transform from the test communication channel equalization, introduced the theory of algorithm design and gives a detailed descr iption of the algorithm and experimental results.
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本文利用小波以及小波包在数字信号处理中表现出来的优势，将其应用到变换域通信(TDCS)中。针对基于傅里叶变换估计方法无法对非平干扰进行有效估计的缺点，于是小波技术被应用于谱估计中。作为TDCS通信前端的频谱感知阶段所应用的数学工具，进行频谱感知，小波变换可以确定干扰所在频段以及创建小波基函数，用于数据传输。并且将其与其他变换方式的应用场合以及性能进行对比。并且针第二代小波良好的数据压缩性能，拟将其应用于TDCS中，对干扰频谱进行进一步压缩-The article utilized the adv
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为了满足数字通信及其它商业应用的需求，语音压缩编码技术得到了迅速发展。介绍了目前语音压缩编码技术
的研究进展，主要包括连续可变斜率增量调制(CVSD)、小波分析、多脉冲激励线性预测编码、散布脉冲码激励线性预
测(DP-CELP)、多重脉冲散布非均匀代数码本激励线性预测(MPD-USACELP)、波形内插(Ⅷ)、线谱对(频率)(LSP)的量化-In order to satisfy deman凼of the digital communication and other commercia
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Wavelet based Analog Pulse Shaping for Digital Communication
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本文首先介绍了已有的调制识别方法：判决理论识别方法和统计模式识别方法[9]，然后详细介绍了基于小波变换调制识别过程，最后分析了数字信号调制识别技术的发展前景。-This paper first introduced the existing modulation identification method: Decision theory identification method and statistics pattern recognition method, Then detailed
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雷克子波是地震勘探中广泛应用的一种子波，作为震源向地下传播，经过反射界面后反射回地面被接受。-Ricker wavelets wave is a widely used in seismic exploration, communication to the ground as the source, after reflection interface reflection back to the ground to be accepted.
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大学生通信工程专业，图像处理第7章实验 小波变换-Students communication engineering, image processing, wavelet transform experiments Chapter 7
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非常经典的基于小波变换的变换域通信系统英文文献，对研究变换域通信系统烦人人帮助很大-Very classic wavelet transform based domain communication system in English literature, research on the transformation domain communication system annoying everyone to help a lot
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The wavelet denoising is a useful tool for various applications of image processing and acoustic signal processing for noise reduction.
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There are some trials for DOA estimation by applying the
wavelet transform method into several sub bands MUSIC and CYCLIC MUSIC scenarios
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