ABC-algorithm

Spectral analysis. Analysis, signal coding and voice synthesis in Matlab

采用离散再合成的随机流动生成(DSRFG)方法合成了满足目标湍流度、积分尺度、脉动风速谱及空间相关性等参数的各向异性湍流;讨论了DSRFG方法在生成湍流风场上关键参数的合理取值;(Anisotropic turbulences satisfying the parameters of target turbulence, integral scale, pulsating wind speed spectrum and spatial correlation are synthesized by discrete resynthesis random flow generation (DSRFG) method. The key parameters of DSRFG method in generating turbulent wind field are discussed. Reasonable value;)

简单叙述了M月TLAB语言的特点，并介绍了如何用材月了乙AB语言编写程序，实现示 波器和频语仪的仿真。 (Brief description of the M language features on TLAB, and describes how to use the materials on the B programming language AB, scope and frequency of language instrument to achieve the simulation.)

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 )

通过此代码，实现OFDM调制。设定子载波个数为6，每个信道的比特数是4000(OFDM MODULATION)

信道容量的计算，实现了其基本功能。信道容量计算(Calculation of channel capacity to achieve its basic features. Calculation of channel capacity)

本程序采用显示方案实现“平均曲率运动(MCM)”模型(realize the MCM model)

LDPC码的经典的译码程序：BP译码算法(Classic LDPC code decoding procedure: BP decoding algorithm)

revision de discos fisicos, prueba y reparacion

用遗传算法优化BP神经网络的Matlab编程实例(Using genetic algorithm BP neural network programming examples Matlab)