MAP

合成孔径雷达SAR成像很全面的matlab程序，非常不错(SAR synthetic aperture radar imaging very comprehensive matlab program, very good)

Traveling salesman problem with imperialist competitive algorithm

自适应波束形成算法，有需要的可以下载看看(Adaptive beamforming algorithm, there is a need can be downloaded)

里面有数字信号处理中常用的matlab工具，用的时候查看该文档，方便Matlab在数字信号处理中的使用(Inside there are commonly used in digital signal processing matlab tool, with the time to view the document in Matlab to facilitate the use of digital signal processing)

实现线性动态系统模型的Arma模型，具有处理动态纹理建模的功能。(dynamic textures are seqences of images showing spatial regularity,temporal continuity.)

mux one hwich is teh best knwo progerma i n the workdl and ist is the

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 )

广义高斯模型参数估计，效果相当不错！ 广义高斯模型参数估计，效果相当不错！(general gaussian parameters estimate)

说明：  利用最小熵法球时间延迟，可以用在TDOA定位中(The ball by the time delay of minimum entropy method can be used in TDOA positioning)

4发射天线1接收天线BPSK调制下的正交空时编码，采用MATLAB语言(4 receiving antennas transmitting antennas 1 under BPSK modulation orthogonal space-time coding using MATLAB language)