INS_GPS_Intergrated_navigation

lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*randn(1,N)]

偏最小二乘算法,是进行化学计量学计算的重要工具(algorithm of partial least squares)

性指标的价值函数达到最小。FCM与HCM的主要区别在于FCM用模糊划分，使得每个给定数据点用值在0，1间的隶属度来确定其属于各个组的程度。与(indicators of the value of minimizing function. HCM FCM with the main difference is fuzzy FCM, broken down to make each set of data points with the value 0, one of the membership to determine its belong to the group level. And)

small signal stability analysis

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

该文件时一些有关Matlab方面的源程序，对于学习该软件的人是很有用的(When the file is some Matlab' s source for learning the software are very useful)

matlab的PSO工具箱。可在matlab6.5中创建用户工具箱(Matlab toolbox. Matlab6.5 can create users Toolbox)

惯性导航捷联算法的matlab实现，内附举例坐标点。(Strapdown inertial navigation algorithm matlab implementation, enclosing the coordinates of points, for example.)

A code for image processing

用stateflow做的整流例子，仿真通过。(Rectifier with stateflow examples do)