matlab 传感器异步融合仿真程序 data fusion

正交变换源程序，带vc工程。 学习正交变换算法的有力工具。(Orthogonal transformation source code, with vc works. Orthogonal transformation algorithm to learn a powerful tool.)

Newton Raphsson Method For solving Numberical Calculation! Written Ba alireza mahdavi(iran)

变增益PID算法的c++实现，目前PID算法较多的是c代码写的，这里上传一个C++的(Variable gain PID algorithm c++ to achieve, the current is more PID algorithm code written in c, where a C++ From the)

x-y图解法求二元精馏塔理论塔板数 本文件是一个m文件,要在matlab环境下运行(x-y graphical method for binary distillation theoretical plate number of this document is a document m, the operating environment Matlab)

运用线性矩阵不等式(LMI)求解鲁棒优化问题。该LMI不等式求解代码，更具有一般性，结合matlab中help命令,能够方便的对新的LMI问题求解(This programme code is useful for the common optimization problem, combined with the description of matlab help statement, a new LMI problem can be easy to solve. )

3．1 线性方程组类设计 3．2 全选主元高斯消去法 3．3 全选主元高斯-约当消去法 3．4 复系数方程组的全选主元高斯消去法 3．5 复系数方程组的全选主元高斯-约当消去法 3．6 求解三对角线方程组的追赶法 3．7 一般带型方程组的求解 3．8 求解对称方程组的分解法 3．9 求解对称正定方程组的平方根法 3．10 求解大型稀疏方程组的全选主元高斯-约当消去法 3．11 求解托伯利兹方程组的列文逊方法 3．12 高斯-赛德尔迭代法 3．13 求解对称正定方程组的共轭梯度法 3．14 求解线性最小二乘问题的豪斯荷尔德变换法 3．15 求解线性最小二乘问题的广义逆法 3．16 病态方程组的求解 (3.1 system of linear equations class designs 3.2 to choose the principal element gaussian elimination 3.3 to elect principal element Gauss- when approximately the elimination 3.4 duplicate coefficient equation sets all choose the principal element gaussian elimination 3.5 duplicate coefficient equation sets to elect principal element Gauss- when approximately the elimination 3.6 solve three diagonal line equation sets to pursue the law 3.7 common belt equation set s solution 3.8 solution symmetrical equation set s resolution 3.9 solution symmetrical Zhengding equation set s square root method 3.10 solution large-scale sparse equation set to elect principal element Gauss- when approximately the elimination 3.11 solutions hold the Belize equation set s row article to abdicate House Holland who method 3.12 Gauss- the Seydell repetitive process 3.13 solution symmetrical Zhengding equation set s conjugate gradient method 3.14 solution linearity is smallest two rides the questionThe German m)

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.)

用ABAQUS及其子程序解决热冲压热力耦合问题(Subroutine with ABAQUS and hot stamping coupled thermal problem solving)

二维情况的chan定位算法，1994年原版论文代码实现，可以支持远近和linear nonlinear四种模式(2 dimension chan algorithm, TDOA localization. Including near, far field and linear nonlinear sensor array)

说明：  蚁群算法优化随机共振参数，用于滚动轴承故障诊断(Ant colony optimization stochastic resonance parameters, bearing fault diagnosis)