vblast-coding

基于MATLAB的解KMV方程的全套源代码(KMV equation)

说明：  基于ziegler-nichols方法的pid整定，包括连续与离散两种方法，是基于稳定性分析的pid整定方法。(based Ziegler-Nichols pid of the whole, including both discrete and continuous method is based on analysis of the pid stability of the entire system.)

MATLAB通信系统仿真（程序库），建立一个仿真系统(MATLAB simulation of communication systems (library), the establishment of a simulation system)

该代码实现了以2为因子的图像升采样和降采样功能。 降采样包括使用平滑滤波器(with using the averaging filter)和不使用平滑滤波器(without using the averaging filter)两种方法。 升采样包括像素点直接复制(pixel replication method)和线性插值(bilinear interpolatoin method)两种方法。 降采样方法和升采样方法共有4种组合。程序运行后，给出了一个原始图片和四个结果图片。 图片1.原始图片。 图片2.平滑滤波器降采样&像素点直接复制升采样。 图片3.平滑滤波器降采样&线性插值升采样。 图片4.不使用平滑滤波器降采样&像素点直接复制升采样。 图片5.不使用平滑滤波器降采样&线性插值升采样。 (The code to achieve a 2-factor image upsampling and downsampling function. Down-sampling (with using the averaging filter) and do not use smoothing filter (without using the averaging filter) are two ways to use the smoothing filter. Upsampling including the pixels copied directly (pixel replication method) and linear interpolation (bilinear interpolatoin method) two methods. Down-sampling method and liters a total of four combinations of sampling methods. The program is running, it shows a picture of an original picture and four results. Picture 1 original picture. Photo 2. Smoothing filter downsampling & the pixel directly copied liter sample. Photo 3. Smoothing filter downsampling & the linear interpolation liter sampling. Picture 4. Smoothing filter down-sampling & the pixels directly copied liter sampling. Picture 5. Use smoothing filter down-sampling & the linear interpolation liter sampling.)

求解 今年puzzleup的第三题 !6个平方数的和，不可以表示为5个平方数的和，求最小的这个和 平方数：0 1 4 9...(Solving the third title this year puzzleup! Six square and can not be expressed as the square of the number 5, find the minimum of this and square: 0149 ...)

数值分析，Matlab的一个方程的迭代解法，很有用的(Numerical analysis, iterative solution of an equation of Matlab, very useful)

A matlab simulation of Cyclic Cellula Automata

function exp85 clear all p=[0:0.1:1.1] t=[22.4570 26.6012 12.6416 5.9367 6.9265 28.2432 31.5068 37.0166 7.8947 1.0398 12.7095] net=newff([0 1],[5 1],{ tansig purelin }, traingdx , learngdm ) net.trainParam.epochs=2500 net.trainParam.goal=0.001 net.trainParam.show=50 net=train(net,p,t) r=sim(net,p) plot(p,t,p,r, * ) y=sim(net,[1.2])

天线和电磁建模与MATLAB，本书介绍了天线的基本概念，采用基于RWG边界元的矩量法对天线和天线阵列进行电磁建模，仿真分析平面使用广为流行的Matlab(Antenna and EM Modeling with MATLAB- Sergey N. Makarov)

说明：  典型关联分析(Canonical Correlation Analysis，以下简称CCA)是最常用的挖掘数据关联关系的算法之一。(Canonical Association Analysis (CCA) is one of the most commonly used algorithms for mining data association.)