multiproject

The LASIP routines for Color Filter Array Interpolation based on LPA-ICI: - CFAI for noiseless data - adaptation for noisy data - CFAI for noisy data based on directional cross-color filters.

简单的matlab教程，教会初学者matlab的基本应用，初步掌握matlab(Simple matlab tutorial)

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 )

AK_model_and_Learning_by_doing_model matlab code

用牛顿-雅可比迭代法求非线性方程组的一个根(Newton- Jacobi iterative method of nonlinear equations of a root . )

mSequence_generatorM序列发生器.rar是基于MATLAB编器的M序列发生器(mSequence_generatorM sequence generator. rar is based on MATLAB)

该程序功能如下： 读取BMP或者JPG格式的图片，自动识别路网，并表出路口节点(The program functions as follows: Read BMP or JPG format images, automatic identification of road network and junction node Expressed)

已知一时变二次微分方程，用matlab求其仿真(Known time-varying quadratic equations, seeking its simulation using matlab)

说明：  小波改进阈值去噪，并分析去噪后信号的信噪比和均方误差(Improving threshold denoising by wavelet transform and analyzing signal-to-noise ratio and mean square error of denoised signal)

精通《MATLAB7》书中的实例，可以借鉴一下，很不错。(Proficient " MATLAB7" book instance, can learn about, very good.)