SVM3phase

说明：  基于小波变换的数字图像水印算法的研究与实现论文(Wavelet-based Digital Image Watermarking Algorithm and Implementation Papers)

说明：  精通matlab，很好的matlab 教材txt版本，适合电子书(Proficient in matlab, a very good txt version of matlab materials, suitable for e-books)

ETF统计套利的书籍，目前正在用matlab进行回测，希望有喜欢的人，也可以了解下(ETF statistical arbitrage books, is currently in use of matlab to test, hope to have of the person you like, also can understand)

A system for disciplined convex programming Copyright (C) 2005-2012 Michael C. Grant and Stephen P. Boyd. This program is free software you can redistribute it and/or modify it under the terms of the GNU General Public License as published

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

多种语音信号质量评判工具，包括pesq、LLR、坂仓距离等。(This folder contains implementations of objective measures，include：PESQ measure，Likelihood-ratio measure，takura-Saito measure and so on.)

simulink搭建的双向DCDC仿真模块，可以实现能量的双向流动(Bidirectional DCDC can achieve two-way flow of energy.)

Convert Analogue to Diditall

Filtro notch para preoprocesamiento

说明：  功率谱估计编程，可以进行时域频域的转换，并提取频率、振幅、功率谱密度等相关参数(The power spectrum estimation program can transform the time domain and frequency domain and extract the related parameters such as frequency, amplitude and power spectrum density)