yuyinxinhaochuli

空间线性去隔行算法，有效改善运动图像的去隔行效应(Linear space de-interlacing algorithm, to effectively improve the movement effect of image de-interlacing)

LENIAL protocol DOC for WSN

GPS和INS组合导航程序，其中包括轨迹发生器、KALMAN滤波、zWzvEZP模型建立、可以对程序进行任意修改，实验报告作为示例，是lbYrjTR参考例程(GPS and INS combination of navigation procedures, including the trajectory generator, KALMAN filter, zWzvEZP model to establish, you can arbitrarily modify the program, the experimental report as an example, is the lbYrjTR reference)

该代码是自己利用实际的大气污染数据编写的否定选择算法例程，验证否定选择算法的分类效果(The code is their actual air pollution data using negative selection algorithm written routines to verify the effect of negative selection algorithm classification)

用K均值算法和C模糊算法对sonar数据和iris数据进行分类。 K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。 模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm. The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized. The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)

说明：  基础的交错并联BUCK电路仿真，可分析各模态的电压电流变化规律(Interleaved parallel BUCK circuit simulation)

这是用matlab编写的一个kalman滤波器，数字信号实验维纳滤波，估计AR模型参数(using Matlab is prepared by a Kalman filter, digital signal experimental Wiener filtering, AR model parameters estimated)

这是一个matlab程序， G-P算法计算混沌信号关联维的 Matlab 程序 (This is a matlab program, GP algorithm to calculate the correlation dimension of chaotic signals Matlab program)

induction Machine for simulating a machine with matlab in a simulink environment

无刷直流电机的建模和仿真，包含matlab里面的例子，可以仿真成功，有最后的转矩波形(Brushless DC motor modeling and simulation, including inside matlab example, can emulate the success, there is a final torque waveform)