l1magic

boxcount: it will estimate the no of boxes as well as fractal dimension of an image

matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码(Add noise matlab code matlab code to add the noise added to noise matlab code to add the noise matlab code to add the noise matlab code to add the noise matlab code matlab code to add the noise)

文中运用matlab实现了多目标问题的求解，实现过程涉及了GA算法的求解，交叉变异等操作均有详细的步骤。(Matlab applied to achieve a multi-objective problem solving process involving the GA algorithm solving crossover and mutation operations are detailed steps.)

ePAPR hypervisor byte channel device driver.

脑电特征提取的典型特征提取算法——共同空间模式方法，本人已亲自调试，并用于论文的写作，是一个提取脑电特征的利器(Eeg feature extraction of typical feature extraction algorithm, joint space model method, I have personally debugging, and used for thesis writing, is a feature extraction of eeg)

本程序利用matlab实现3维栅格地图建模，调试成功，有兴趣的可以下载(This procedure using matlab to achieve a three-dimensional grid map modeling, debugging success, interested can download)

这是Simulink关于模拟调幅的模型。希望对初学者有用。(This film is based on Simulink simulation model of amplitude modulation. Hope useful for beginners. )

小波分析最基础的、具有导向性的东西，值得(Wavelet analysis of the most basic, with the east-west-oriented, it is worth)

本程序是基于DCT的数字水印算法，包含水印的嵌入，提取过程！(watermarking scheme based on DCT！)

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)