MATLABSimulink

自己编写的二维地震数据分析及显示，可以给二维勘探的同行们提供帮助(2Dseismic data analysis and plot)

说明：  仿真螺旋交织器系统。要求将得到的整数序列放置在三个工作空间中并输出值。观察交织后数值的可视化变化规律。螺旋交织器模块参数：螺旋排列列数3；组的大小2；螺旋排列的跳步1；初始条件0。螺旋解交织器参数设置同螺旋交织器。斜坡函数模块参数：斜率1；开始时间0；初始输出1；矢量参数一维。缓存器参数：输出缓存长度6；缓存交叠0；初始条件0。仿真系统中的时延参数为7。(Simulation of helical interleaver system. Requirements will be placed in the three integer sequences and the output value of the workspace. Values observed after mixed visual variation. Helical interleaver module parameters: the number of columns 3, spirally arranged group size 2 spiral arrangement of jump 1 initial condition 0. Deinterleaving parameters set screw with helical interleaver. Ramp function module parameters: slope 1 start time 0 initial output 1 one-dimensional vector parameter. Buffer parameters: the length of the output buffer 6 cache overlap 0 initial condition 0. Delay parameter in the simulation system 7.)

说明：  this is a good code for newton-rafson

说明：  matlab的神经网络，可以用来预测，分类(matlab neural network can be used to predict classification)

Simulink model of field oriented control. permanent magnet synchronous motor.

对数据进行emd分解，可以自适应得到对应的模态分量(Emd decomposition of the data can be adaptive to get the corresponding modal components)

说明：  基于负熵的盲源分离算法，可以用于语音的盲分离，提高语音信号质量。本代码中，对原始信号分别为正弦波，方波，和随机信号，通过高斯信道的混合矩阵，获得接收信号，并通过基于负熵的盲源分离算法分理处原始信号。PS：Matlab版本为2018Ra(The blind source separation algorithm based on negative entropy can be used for speech blind separation and improve the quality of speech signal. In this code, for the original signal, sine wave, square wave and random signal, the received signal is obtained through the mixture matrix of the Gauss channel, and the original signal is processed by the blind source separation algorithm based on negative entropy. PS: MATLAB Version 2018Ra)

对一个三次函数寻找最优解（最小值），分别使用全局搜索法、二分法、黄金分割法和斐波那契法共四种方法寻优。函数可在程序中自行指定，有gui界面。(A cubic function to find the optimal solution (minimum), respectively, using a global search method, dichotomy, golden section and Fibonacci optimization method a total of four methods. Function can be specified in the program itself, there are gui interface.)

buck boost varaible voltage by state space equations

图像分类。将图像中的40个样本作为训练样本，训练得到分类器，将另外160个样本作为测试样本测试分类器的效果。(Image classification. The image of the 40 samples as training samples, the trained classifier, an additional 160 samples as a test sample test classification results.)