PVdiodeModelRsRsh

matlab code for hmm understanding

Framing Pyramid的源码。将图片分解成多分辨率的LP(Framing the source. Photo will be transformed into a multi-resolution LP)

AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。 具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后， 计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法....... 直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。 可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。 AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。 对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目， 过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。 同时可以通过删除离决策边界比较远的样例。 (AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative. Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way ....... 0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value). As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing. AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method. For )

用matlab在极坐标下画天线方向图，可以运行，已经测试过(In the polar coordinates with matlab draw Antenna)

著名的子空间分离自适应算法PASTD的MATLAB源代码(famous space separation adaptive algorithm PASTD MATLAB source code)

故障诊断方面的一篇文章，发表在Automatica上，具有很大的参考意义。(Fault diagnosis of an article published in Automatica, and has great reference value.)

自己编写的一个计算三维庞加莱截面的源程序，修改其中参数可以实现。(Write your own a computational three-dimensional poincare section of the source program, modify the parameters can be achieved. )

关于柯西分布的matlab工具包，包括概率分布函数，反函数等(On the Cauchy distribution matlab toolkit, including the probability distribution function, inverse function, etc.)

针对超分辨图像图像的pocs算法源代码，对多帧序列的毫米波图像进行处理(Image super-resolution images for pocs algorithm source code, on the millimeter wave multi-frame image sequence processing)

MATLAB和Mathematica、Maple并称为三大数学软件。它在数学类科技应用软件中在数值计算方面首屈一指。MATLAB可以进行矩阵运算、绘制函数和数据、实现算法、创建用户界面、连接其他编程语言的程序等，主要应用于工程计算、控制设计、信号处理与通讯、图像处理、信号检测、金融建模设计与分析等领域。 MATLAB的基本数据单位是矩阵，它的指令表达式与数学、工程中常用的形式十分相似，故用MATLAB来解算问题要比用C，FORTRAN等语言完成相同的事情简捷得多，并且MATLAB也吸收了像Maple等软件的优点，使MATLAB成为一个强大的数学软件。在新的版本中也加入了对C，FORTRAN，C++，JAVA的支持。可以直接调用,用户也可以将自己编写的实用程序导入到MATLAB函数库中方便自己以后调用，此外许多的MATLAB爱好者都编写了一些经典的程序，用户可以直接进行下载就可以用。(MATLAB and Mathematica, Maple and called the three mathematical software. It is during a math class technology application software in the numerical calculations to none. MATLAB matrix operations can be performed, mapping functions and data, algorithm, creating the user interface, connect to other programming languages ​ ​ procedures, mainly used in engineering calculations, control design, signal processing and communications, image processing, signal detection, financial modeling design and analysis and other fields. MATLAB basic unit of data is a matrix, its instruction expression and mathematics, engineering, commonly used forms are very similar, so use MATLAB to solving the problem than with C, FORTRAN and other languages ​ ​ accomplish the same thing more simple, and also MATLAB absorb the advantages of software such as Maple, so MATLAB become a powerful mathematical software. In the new version also adds support for C, FORTRAN, C++, JAVA support. Can be calle)