roefou

butterworth 高通滤波、低通滤波、带通滤波、带阻滤波器程序(Bandpass filter, low pass, high pass, band pass, band stop)

this is mean shift one of image processing famous segmentation techniques, it is programmed in matlab

说明：  明尼苏达大学大牛G.V.Candler关于最近年来气动热、力的数值计算方面的总结，对该领域的学者有借鉴作用。(The Big Cow of University of Minnesota, G.V.Candler's summary on the numerical calculation of aerodynamic heat and force in recent years, which could be benifited for scholars in this field.)

电力系统连续潮流计算，以牛拉法潮流计算为基础，用来求解系统的PV曲线。(Continuous power system load flow calculation, using bovine Rafah flow calculation, based on the system used to solve the PV curve.)

邻带计算，高斯正反算，可以实现测绘系统内简单的转换计算，但是是基于80坐标系统的。(failed to translate)

java编写九九乘法表 1*1=1 2*1=2 2*2=4 3*1=3 3*2=6 3*3=9 4*1=4 4*2=8 4*3=12 4*4=16 5*1=5 5*2=10 5*3=15 5*4=20 5*5=25 6*1=6 6*2=12 6*3=18 6*4=24 6*5=30 6*6=36 7*1=7 7*2=14 7*3=21 7*4=28 7*5=35 7*6=42 7*7=49 8*1=8 8*2=16 8*3=24 8*4=32 8*5=40 8*6=48 8*7=56 8*8=64 9*1=9 9*2=18 9*3=27 9*4=36 9*5=45 9*6=54 9*7=63 9*8=72 9*9=81 (Multiplication table 1*1=1 2*1=2 2*2=4 3*1=3 3*2=6 3*3=9 4*1=4 4*2=8 4*3=12 4*4=16 5*1=5 5*2=10 5*3=15 5*4=20 5*5=25 6*1=6 6*2=12 6*3=18 6*4=24 6*5=30 6*6=36 7*1=7 7*2=14 7*3=21 7*4=28 7*5=35 7*6=42 7*7=49 8*1=8 8*2=16 8*3=24 8*4=32 8*5=40 8*6=48 8*7=56 8*8=64 9*1=9 9*2=18 9*3=27 9*4=36 9*5=45 9*6=54 9*7=63 9*8=72 9*9=81 )

這個程式可以顯示 3~100 的 prime number，很適合新手練習的範例程式，附上源碼可以修改內部細節，多做驗證。()

一些有用的fem用来matlab进行有限元分析编程的源代码(Some useful fem used to matlab for finite element analysis of programming source code)

说明：  用于非线性常微分方程的解的重要的一类隐式或显式迭代法，使用龙格库塔计算激光器的速率方程。(An important class of implicit or explicit iterative methods for solving nonlinear ordinary differential equations is to use Runge Kutta to calculate the rate equations of lasers.)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)