Flight-Control-System2

基于matlab的pagerank代码，与大家共享(Matlab based on the pagerank code sharing with U.S.)

kground: Abnormally high CSF 3-OMD occurs frequently for RLS patients indicating either increased L-dopa synthesis, limitations in L-dopa decarboxylation or increased MAT/COMT activity, or some combination of these. Increased tyrosine hydroxylase activity was found on both the RLS autopsy and the rodent iron-deprivation model of RLS, suggesting increased DA synthesis in RLS. We, therefore, hypothesized elevated 3-OMD in RLS results from increased DA synthesis and that this should occur accordingly with increased HVA. It would then also reflect both the more severe iron insufficiency pathology of RLS and greater clinical severity, shown by the objective measure of PLMS/hr. Methods: Patients off RLS medications and matched controls had

二维函数逼近仿真，包含误差分析，三维图显示(Two-dimensional function approximation simulation, including error analysis, three-dimensional map display)

这是MATLAB图形界面设计（英文原版），有需要的下下来看吧(MATLAB graphical interface design (English original), there is a need in the next down and see)

对matlab模块进行了详细的讲解，对matlab模块应用和开放很有帮助。(Matlab module on a detailed explanation of the application and open matlab module helpful.)

Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

说明：  一字型编队，对多智能体协同处理可以下载讨论(Coordinated formation)

使用matlab_GUI编写，包括：扩展卡尔曼滤波，粒子滤波，去偏卡尔曼滤波和循环增益尔曼滤波的源程序，根据初始预测计算滤波值 再通过输入观测值进行卡尔曼滤波的仿真GUI界面程序(Matlab_GUI prepared to use, including: extended Kalman filter, particle filter, to the partial gain of Kalman filter and recycling thalmann source filter, according to the initial value of prediction filter observations through the input of the Kalman filter to simulation procedures GUI interface)

This function is another tutorial on how to do computer vision type stuff with Octave/Matlab. It shows how to implement Hartley and Zisserman s "DLT" algorithm for estimating a homography from point correspondences