audio-watermark

说明：  本实验的目的是了解非参数估计--parzen窗估计，对数据进行Parzen窗估计和设计分类器。并分析窗口宽度h对分类的影响。(The purpose of this study is to understand the non-parametric estimation- parzen window estimation, Parzen window estimate of the data and design of classifiers. Window width h and analyzed the impact on the classification.)

基于稀疏表示的inpaint去水印，部分代码，请安装sparse toolbox....欢迎下载(Camera self-calibration matlab source code, documentation and multi-view geometry ~ ~ and welcome to download the package ....)

通过gdm、LM以及贝叶斯正则化，进行BP神将网络(By gdm, LM and Bayesian regularization, for God BP Network)

给定函数表 xi -0.1 0.3 0.7

主成分分析(Principal Component Analysis, 简称PCA)是一种常用的基于变量协方差矩阵对信息进行处理、压缩和抽提的有效方法。 (The principal component analysis (Principal Component Analysis, PCA) is a common covariance matrix of information processing, compression and extraction.)

matlab带噪声周期信号的自相关运算代码仿真有图(autocorrelation matlab periodic signal with noise)

说明：  实现水下无线传感器网络的三维部署，使用Voronoi图(deployment of wireless sensor network)

机器学习和模式识别的常用算法，独立主元分析，常用于人脸图像识别。此压缩包含有完整的用于人脸图像的算法源码(Commonly used machine learning and pattern recognition algorithms, independent component analysis, commonly used for facial image recognition, speech recognition, etc.)

对多输入多输出系统进行仿真，通过仿真解释其性能的好坏(MIMO system simulink)

说明：  MATLAB符号计算课件 内容包括： 1 符号对象 2 符号微积分 3 级数 4 符号方程求解 (MATLAB symbolic computation courseware includes: 1 Symbolic Object Calculus 2 symbols 3 symbols 4 series equation)