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- 数字音频水印的嵌入和检测，使用的算法是基于小波变换-Digital audio watermark embedding and detection algorithms used are based on wavelet transform
BispectrumWavelets
- 用双谱和小波变换去除信号中加性高斯噪声的相关程序 1.实现单个变量的双谱分析程序 2.用傅立叶反变换求自相关函数的程序 3.用fft求取喜好频谱、功率谱、均方根谱、对数谱的程序 4.读取.wav语音信号后用小波去加信白噪声的程序 5.用各种小波和阀值对同一信号去加性噪声效果比较的程序 -Double-spectral and wavelet transform to remove the signal plus Gaussian noise procedures 1. T
Matlab-Wavelet-Denoise-Compress
- Matlab-Wavelet-Denoise-Compress.关于小降噪的练习，很好的应用！-Matlab-Wavelet-Denoise-Compress. The practice of small noise, a very good application!
matlabwatermaker
- 一种用Matlab实现的基于小波变换的音频数字水印.-A Matlab realization of wavelet transform-based audio digital watermarking.
DWT_DFT_001.pdf
- 该文提出一种基于小波变换和后对音频进行小波变换， 小波变换的近嵌入水印。在水印提取过程中，不需要原始音频信号的参与。仿真试验证实了该算法的稳健性和不可感知性。-This paper presents a wavelet transform-based and audio after the wavelet transform, wavelet transform nearly embedded watermark. In the watermark extraction process does
xiaobo
- 该程序实现了小波变换对音频信号的降噪处理，简单实用！程序运行时需要一个.wav格式的音频信号。-Procedures for the implementation of the wavelet transform of the noise reduction audio signal processing, simple and practical! Procedures required a run-time. Wav format audio signal.
DCT
- DCT域音频水印算法代码，用于音频媒体版权的保护-Audio Watermarking Algorithm for DCT-domain code
system
- 数字视频监控系统代表了监控行业的未来发展方向，蕴藏着巨大的商机和 经济效益，成为目前信息产业中颇受关注的数字化产品。特别是近年来，随着 技术的进步和社会经济的不断发展，客观上对监控系统的准确性、有效性和方 便性提出了更高要求。主要体现在：需要实施视频监控的范围更加广阔，达到 点多面广；要求监控系统与管理信息系统、网络系统结合，实现对大量视频数 据的压缩存储、传输和自动处理，从而达到资源共享，为各级管理人员和决策 者提供方便、快捷、有效的服务。可见基于 DSP 和小波压缩技
audiocompression
- 此程序主要是通过使用小波达到音频压缩的目的，可以比较不同的小波函数和压缩次数音频文件的差异-This process is mainly achieved through the use of wavelet purpose audio compression, you can compare different compression of the wavelet function and the difference in the number of audio files
dwt2
- 本文提出了一种基于独立分量分析的音频数字水印方法。嵌入水印时,对原始音频文件进行一级小波分解,在分解 得到的逼近分量中利用随机混合方法嵌入水印后进行小波逆变换形成嵌入水印的音频文件。仿真实验结果表明这种方 法的强鲁棒性和可行性。-Abstract:Audio p roduction is one of the important digital multimedias, which transmit becomes more and more convenient. To p rev
M_program
- 音频水印的matlab相关程序，包括两个部分：小波域音频水印（含修正离散余弦变换）及基于HRT和线性回归检测水印的算法。 -Matlab audio watermark-related procedures, including two parts: audio watermarking in wavelet domain (including MDCT) and linear regression based on the HRT and the watermark detection a
logistic_dwt
- 】利用混沌动力学系统中logistic 映射先对水印图像进行置乱预处理以增强其鲁棒性, 在小波域中将原始音频信号按比例分段, 此比例为原始音频信号低频部分与水印信号个数之比, 然后将水印信号加入到音频信号的 低频部分。用StirMark 攻击后的实验结果表明, 该算法对StirMark 的部分攻击具有一定的鲁棒性。-The logistic- map sequences to encrypt the watermark are used. The original audio signal
watermarking_haar_level3_082709
- Audio watermarking based on quantization in wavelet domain
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
LtoLHtoH_svd
- 本算法结合小波变换和SVD奇异值变换，实现了水印的嵌入和提取，载体图像的鲁棒性和水印的不可见性，提取出的水印图像的和原水印图像基本一致，抗攻击性强。-The algorithm combines wavelet transform and SVD singular value transformation, achieved watermark embedding and extraction, vector image watermark robustness and invisibility
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
MFCC_DWT
- 基于频率到谱技术的离散小波变换的音频识别技术-Frequency to the spectral techniques based on discrete wavelet transform audio recognition technology
based-on-wavelet-transform-audio
- 基于小波变换的自同步音频水印算法，研究论文，非常不错哦。-Self-synchronization based on wavelet transform audio watermarking, research papers, very impressive.
Wavelet-based-audio-watermark--code
- 基于小波的音频水印嵌入代码。采用DB1小波-Wavelet-based audio watermark embedding code. Using wavelet DB1