jiulie

格子玻尔兹曼 圆柱绕流 Python编写(lattice boltzmann flow around a cylinder, using Python. very fast because of numpy library)

fft的文件，fortran环境下运行！欢迎指正！(fft documents, fortran environment running! Please correct me!)

使用Extended Kalman Filter进行SLAM的新版本代码，主要用于机器人定位和地图自动绘制。(The New Version of SLAM code using Extended Kalman Filter, used in the field of robot localization and map building)

线性规划中的单纯形法的c实现，代码有测试类，(Simplex method for linear programming)

程序是庄茁大神经典的Johnson-Cook模型隐式算法 另外包括一个 ABAQUS-Standard用户材料子程序实例的文档说明(The program is a classic Johnson-Cook model implicit algorithm and it includes documentation of an ABAQUS-Standard user material subroutine example)

It is a code for simulation of fast slam in matlab

针对功放得到非线性失真，采用查表法预失真对功放的非线性进行补偿，仿真表明了补偿方式的有效性。(Obtained for nonlinear distortion amplifier, using the look-up table predistortion to compensate for non-linear power amplifier, simulation shows the effectiveness of compensation.)

Matlab codes for Robust PCA multivariate control chart(Robust PCA multivariate control chart mainly consists two steps: Step1 Calculates the robust mean and the robust covariance of original dataset using the minimum covariance determinant (MCD). In MCD technique, finding a subset containing half of the data such that its covariance matrix has the lowest determinant, then using this subset to calculate the robust mean and the robust covariance matrix (Hubert, Rousseeuw, & Branden, 2005) Step2 Standardize data using robust mean and robust standard deviation from Step1. Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and A is p*p matrix of eigenvectors (also called principalcomponents))

三相潮流计算，使用的是牛顿拉弗逊方法。迭代较快。是解决潮流的较有效的方法。(Three-phase power flow calculation, using Newton' s method Laffer Johnson. Iterate rapidly. The trend is to solve the more effective method.)

波束域 MUSIC 算法跟经典MUSIC 算法相比，具有更小的分辨信噪比门限(Beamspace MUSIC algorithm compared to the classic MUSIC algorithm, with smaller resolution and signal to noise ratio limit)