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Communition MATLAB (Proakis)书中的源程序，很不错(Communition MATLAB (Proakis) source book, very good)

用matlab编写的数字信号处理源码，包含很多常用信号分析功能，非常使用。(using Matlab prepared by the Digital Signal Processing Source include many commonly used signal analysis functions, very used.)

matlab中文手册，很实用，很全面，适合初学者(matlab Chinese Manual, very practical, very comprehensive, suitable for beginners)

to calculate cost of stand-alone system

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 )

lexical and bison analyzer for compiling

用Simulink实现PAM调制，并显示星座图和眼图(PAM modulation and demodulation)

用3中误差扩散滤波器实现误差扩散，分别是floyd stein, sierra, Stenenson滤波器(Error diffusion filter with a 3 to achieve error diffusion, respectively, floyd stein, sierra, Stenenson filter)

在所给定的图片上自动标定出嘴的位置，方便不同图像嘴的定位(In the picture given by the location of automatic calibration of the mouth, mouth to facilitate the positioning of different images)

matlab实用教程。书如其名，从读者的学习的角度介绍matlab,非常易懂易学。(This is a book full of practical knowledge concerning how to utilize matlab. )