Refractive_index_wavelength

matlab基本语法 基本规则和基本绘图 (matlab basic rules of basic grammar and basic drawing)

一个有趣的桌面撞球模拟,可录制avi,输出坐标参数及图象(An interesting desktop billiards simulation, can record avi, output parameters and image coordinates)

this is a file that about matlab this is a file that about matlab

跳频（占空比为1）4fsk的部分频带干扰误码率计算，这个程序是基于matlab的，自己编的，呵呵(Frequency Hopping (duty cycle 1) 4fsk the partial band interference bit error rate, this procedure is based on matlab, and their series, Oh)

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 )

说明：  Kmeans实现聚类分析，还有一个用模拟退火优化的Kmeans。(Kmeans implements clustering analysis.)

偏微分方程：matlab实现林石算子扩散去噪算法 (Lin Shi operator to achieve diffusion filtering)

自己初学matlab，编写的一些小程序，希望对初学者有帮助。(Their novice matlab, small programs written in the hope that helpful for beginners.)

Linear filters process time-varying input signals to produce output signals, subject to the constraint of linearity. This results systems composed solely of components (or digital algorithms) classified as having a linear response.

改程序能够实现加窗插值FFT算法的matlab仿真，已经得到实验验证，注解清晰详细，代码可读性强.以512点为例进行仿真计算，对与其他点数，如256或是1024可以通过简单修改即可(Reform process to achieve the windowed interpolation FFT algorithm matlab simulation, experimental verification has been, clear and detailed annotations, code readability. 512 points as an example to the simulation of other points, such as 256 or 1024 can be simple modifications)