FINAL__PHYSIONET_DATA

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 revent the multimedia content from being stolen or illegally used, audio content p rotection techniques become increasingly impor2 tant so that the potential of these app lications can be reached. As the importantmethod of copyright p rotection, the digitalwater2 marking technology has been acquired widely recognition and research. This paper p resents a method of digital audio watermark2 ing based on independent component analysis. When embedding watermarking, the original audio is decomposed by single2level discrete 12D wavelet transform, watermarking is embedded by mixing randomly to the app roximation coefficient vector obtained, and the audio is single2level reconstructed receiving audio havingwatermarking. Emulated experiment results show that thismeth2 od is robust and feasible.)

一个关于aodv dsr dijkstra算法的MATLAB实现(Aodv dsr dijkstra a MATLAB algorithm to achieve)

用MATLAB实现dct算法减少数据冗余(Dct algorithm using MATLAB to achieve reduced data redundancy)

关于小波去噪的MATLAB源程序序实现图像和信号的去噪可直接使用。 (On Wavelet Denoising MATLAB source sequence image and signal denoising can be used directly.)

ceemdan是对EMD EEMD的改进算法，此程序包中有子程序和测试例子，可以运行(his algorithm was presented at ICASSP 2011, Prague, Czech Republic Plese, if you use this code in your work, please cite the paper where the algorithm was first presented. If you use this code, please cite: M.E.TORRES, M.A. COLOMINAS, G. SCHLOTTHAUER, P. FLANDRIN, "A complete Ensemble Empirical Mode decomposition with adaptive noise," IEEE Int. Conf. on Acoust., Speech and Signal Proc. ICASSP-11, pp. 4144-4147, Prague (CZ))

Estimates digital nets.

判断一组数据服从何种分布：正态分布判，断泊松分布判断，γ分布判断，指数分布判断，rayleigh分布判断(Determine a set of data obey what distribution )

本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。(This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods.)

说明：  一个有关OMP的应用的例子，适合初学者学习 正交匹配追踪方法(An example of application of relevant OMP, suitable for beginners The principal component analysis method)

说明：  m file for computing the eign values using matlab , it was a simple college project