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说明：  】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 in DWT (Discrete Wavelet Transform) domain is seperated into some pieces determined by the ratio between the length of the low frequency parts and the length of the encrypted watermark. Every bit of the watermark is added into the relevant pieces of the low frequency parts in the DWT domain. Experimental results show that the algorithm is robust against some StirMark attacks.)

Statement and form of MATLAB in the probability distribution on the common density function

用于gps单点定位的matlab程序，通过读取.O和.N文件进行定位(For single point positioning gps matlab program to locate files by reading .O and .N)

系统辨识2仿真程序，含有系统辨识书中剩余3章的全部matlab的程序代码，可以供下载！(xitongbianshi2fangzhenchengxu)

本程序是独立成分分析算法的主程序，在该程序中，通过调用子程序的方式实现了独立成分分析。但本程序不含子程序。(This procedure is the main independent component analysis algorithm, in this program by calling the subroutine way to achieve an independent component analysis.)

比较两个不同的倒频谱分析方法的一个有限的时间框架的言论,即基于fft算法的传统方法(与框架展开复杂的倒频谱),和一个分析方法基于求解有限阶分子多项式的根的倒频谱和直接计算多项式根的位置。(This MATLAB exercise compares two different methods of cepstrum analysis of a finite duration frame of speech, namely the conventional method based on FFTs (with frame unwrapping for the complex cepstrum), and an analytical method based on solving for the roots of a finite order numerator polynomial and directly computing the cepstrum the locations of the polynomial roots.)

说明：  卡尔曼滤波在目标跟踪中应用仿真研究。目标跟踪是卡尔曼滤波的主要应用领域，进一步 加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点， 掌握卡尔曼滤波算法应用研究的基本步骤和方法。(The application of Kalman filter in target tracking is simulated. Target tracking is the main application area of Kalman filter. To deepen the understanding of Kalman filter algorithm and understand the basic characteristics of Kalman filter algorithm. Grasp the basic steps and methods of Kalman filtering algorithm application research.)

Regularized OMP by Vershyn and Kneedell

说明 在此分类的PRJ我们试图通过分配给每个签名的两个不同的公司标识由一个特别号码提取水平和垂直扫描每幅图像矩阵。每个标志图片被截断成二进制后调整大小。这是由核心例行imcount.m，而主编testpng.m运行compelte测试结果显示出来。每个标识的痕迹便可以进一步处理像一个合适的神经网络学习，推理机等熵类分类指数使用的系统是更好的有关报告，从http://cag.dat下载的解释。 demokritos.gr/publications/TR2011-1.pdf。 该例程index0.m提取每个图像矩阵的行/列聚类分析，现在可以用来替换为最新版本的“cluster.m“另一包“DEC2NARY“我们Mathworks公司提供的帐户中。 MATLAB的MATLAB的版本7.4（R2007a）(Description In this prj we attempt to classify a number of Company Logos by assigning to each 2 distinct signatures extracted by a special horizontal and vertical scan of each image matrix. Each Logo picture is truncated to binary after resizing. This is done by the core routine imcount.m, while the main prog testpng.m runs a compelte test and displays results. Traces of each Logo could then be further processed by an appropriate learning system like a Neural Net, an Inference Engine, etc. The entropic-like index used for classification is better explained in the associated report downloadable from http://cag.dat.demokritos.gr/publications/TR2011-1.pdf. The routine index0.m used for extracting the cluster analysis of each image matrix row/col can now be replaced by a most recent version "cluster.m", contained in another package "DEC2NARY" available by our Mathworks account. MATLAB release MATLAB 7.4 (R2007a) )

卡尔曼滤波应用 通过卡尔曼滤波跟踪移动中的目标(Kalman filtering applications through the Kalman filter tracking moving target)