shuangpu

Hirani and Totsuka s paper about method of image reconstruction. Presented in 1996.

说明：  MATLAB实现的huffman编码，并附有详细的过程说明(MATLAB implementation of the huffman encoding, together with a detailed description of the process)

Matlab数字图像处理学习笔记--从无到有学习笔记,适合新手学习 (Matlab Image Processing Study Notes- Study Notes from scratch, suitable for novice to learn)

说明：  采用最小方差自适应算法作为自校正调节器，控制系统(Minimum variance adaptive algorithm used as a self-tuning regulator, control 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 )

OFDM程序，采用LS信道估计，在不同的调制方式下，测试系统性能。(OFDM procedures, the use of LS channel estimation, modulation in different ways, the test system performance.)

the two .m file used to generate m sequence and compute two sequences s correlation properties, for example to compute two gold sequences s correlations properties

编写一个可以增强图像的函数，可以使得图像的灰度级转变。(Write a function that can enhance the image, you can make changes in the gray level of the image.)

用MATLAB自带的工具箱实现svm的多分类问题，代码有注释。(MATLAB comes with the toolbox to achieve svm multi-classification problem, the code has comments.)

MIMO系统的DEMO，函数说明在附件中。(MIMO system DEMO, function in an annex.)