565

gardner定时同步算法matlab仿真(gardner timing agithrim)

2d linear channel estimation

Matlabcommunicationsystemmodeling andsimulation

说明：  关于超宽带的一系列仿真包括高斯波形各阶导函数波形频谱以及采用高斯导函数的跳时超宽带仿真程序(On a series of ultra-wideband waveform simulation including the Gaussian wave function of the first derivative spectrum and the use of Gaussian derivative function of time-hopping ultra-wideband simulation program)

制作运用Newton迭代法解非线性方程组的用户界面(Making use of Newton iterative method for solving nonlinear equations of the user interface )

一个简单的图形用户界面，演示了从示波器如何检索和显示数据。(A simple graphical user interface, presentation on how to retrieve and display data from the oscilloscope.)

LDPC编码，BPSK调制，AWGN信道，译码，可以仿真出误码率曲线(LDPC coding, BPSK modulation, AWGN channel decoding, the BER curves can be simulated)

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：  机载气象雷达地物杂波抑制算法的研究：包括复系数滤波器，频域滤波器，DPCA技术与空时二维自适应处理(Airborne weather radar ground clutter suppression algorithm: include complex coefficient filter, frequency domain filters, DPCA technology and space-time adaptive processing)

说明：  matlab模拟光的衍射的程序，有界面，文件附了一张效果图。(matlab simulation of light diffraction procedures, interface, file attachment to the renderings.)