lvboqi

说明：  2fsk在matlab simmulink上面的仿真(2fsk above simulation in matlab simmulink)

image segmentation. This package contains demos that were used during an Image Processing webinar

Hello world application. This application automatically prints "Hello World"

LM-BP电力系统考虑多种天气进行预测，误差小(LM-BP to consider a variety of power system to predict weather, small error)

径向基函数是一个取值仅仅依赖于离原点距离的实值函数，也就是Φ（x）=Φ(‖x‖),或者还可以是到任意一点c的距离，c点称为中心点，也就是 Φ（x，c）=Φ(‖x-c‖)。任意一个满足Φ（x）=Φ(‖x‖)特性的函数Φ都叫做径向量函数，标准的一般使用欧氏距离，尽管其他距离函数也是可以的。一些径向函数代表性的用到近似给定的函数，这种近似可以被解释成一个简单的神经网络，径向基函数在支持向量机中也被用做核函数。(Radial basis function depends only on the value of a real-valued function of the distance from the origin, i.e. Φ (x) = Φ (x ‖ ‖) or may also be the distance to any point c, c is called the center point , i.e. Φ (x, c) = Φ (xc ‖ ‖). Satisfy any one of Φ (x) = Φ (x ‖ ‖) characteristic functions are called radial vector function Φ standard Euclidean distance is generally used, although other distance functions are also possible. Some typical uses radial function approximation given function, this approximation can be interpreted as a simple neural network, RBF in support vector machines have also been used to make nuclear functions.)

simple bldc motor with mechanism

CONTROL OF DC MOTOR USING BUCK BOOST CONVERTER

通过遗传算法计算多背包问题 (Computing multi knapsack problem by genetic algorithm)

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

基于DQ旋转坐标，Uq=0,实现了三相锁相环,对DSP，FPGA的设计具有指导意义(DQ rotating coordinate-based, Uq = 0, to achieve a three-phase locked loop, for DSP, FPGA design instructive)