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zero-watermarking
- 小波变换(Wavelet)实现数字零水印源代码-Simple wavelet transform (Wavelet) digital Watermarking source code
F2_6764
- 端点检测是指用数字处理技术来找出语音信号中的各种段落（如音素、音节、词素、词等）的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样，将其分帧并计算短时能量和过零率参数，然后进行端点检测。这种工作方式被称为离线处理方法 ，无法实现语音信号的实时处理，对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件，在MATLAB环境下将其嵌入到figure窗口中，以GUI程序的方式使用，实现语音信号端点检测的实时处
code
- 基于感兴趣区的零数字水印的算法及检测算法。-Region of interest based on the zero-digital watermarking algorithm and detection algorithm.
watermarking
- 对音频信号分帧加窗,对每帧进行三阶小波变换,取其逼近系数平均值(一般为零).在此嵌入二值图像 并有对潜入水印信号进行盲检,恢复其嵌入水印-Sub-frame of the audio signal increases the Hamming window for each frame impletment third-order wavelet transform, whichever is close to the average coefficient (usually zero). a
vm
- Owing to the broad application value of audio watermarking in remote transmission and mobile extraction, it is very important to study watermarking approaches against A/D and D/A conversion. Based on wavelet decomposition and cepstrum technol
amorph
- Owing to the broad application value of audio watermarking in remote transmission and mobile extraction, it is very important to study watermarking approaches against A/D and D/A conversion. Based on wavelet decomposition and cepstrum technol
vm2
- Owing to the broad application value of audio watermarking in remote transmission and mobile extraction, it is very important to study watermarking approaches against A/D and D/A conversion. Based on wavelet decomposition and cepstrum technol
wavelet
- 本代码是一种基于小波的零水印算法，算法在小波域进行水印的嵌入，并进行了鲁棒性测试-zero-watermarking based on wavelet
zero-watermarking-based-on-wavelet
- 对水印图像进行置乱，然后嵌入到载体图像小波域中的细节子带中-the watermark image is Scrambled, and then embedded into the details of wavelet sub-band domain
xaiobo
- 离散小波变换和零树编码在数字水印中的应用研究-Discrete wavelet transform and zero tree coding in digital watermarking
watermarking-based-on-wavelet
- 本代码是一种基于小波的零水印算法，算法在小波域进行水印的嵌入，并进行了鲁棒性测试-zero-watermarking based on wavelet -watermarking based on wavelet
DCT-watermark-
- DCT域图像隐藏，基于DCT系数关系的图像水印算法，88分块后比较选定的两个系数的大小以此来隐藏1或者0.-DCT domain image hiding, based on the relationship between the DCT coefficients image watermarking algorithm, 88 blocks selected after comparing the size of the two coefficients in order to hide o
Watermarking-algorithm-based-on-WT
- 基于小波变换的零水印算法，包括水印的嵌入及提取，用到了阿诺德变换-Zero-watermarking algorithm based on wavelet transform, including the watermark embedding and extraction, use Arnold transformation