JN-UG-3062-JN5148-EK010-User-Guide

FBG反射谱，要用的人会非常需要，需要的人可以看看，很不错的(FBG id1=fopen( lambdaCMT.txt , wt ) fid2=fopen( rhoCMT.txt , wt ) f1=inline( -i.*delta.*y1-k.*y2 , t , lambda , wk , delta , k , y1 , y2 ) f2=inline( -k.*y1+i.*delta.*y2 , t , lambda , wk , delta , k , y1 , y2 ) lambda=1547 while lambda<1552 t0=-501426 h=2.0057e+003 n=500 y1=1 y2=0 )

UAV zagi parameters for simulation

mohasebate addadi,determain,...

matlab 实现汽车悬架分析，四分之一、二分之之一，整车悬架悬架 ，经测试可直接使用。 (matlab vehicle suspension analysis, one-quarter, one-half of vehicle suspension suspension, tested directly use.)

MIMO 检测仿真 ML MMSE ZF 还有OSIC的(MIMO detector simulation ML MMSE ZF OSIC' s there)

material regarding to the matlab

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. )

基于matlab的一个，计算机虚拟程序，有一个完整的算例。(Matlab a computer virtual program, a complete example.)

主要对偏微分方程进行差分计算，通过不断迭代，使误差最小(The main differential calculation of partial differential equations, through constant iteration, minimize the error)

wavelet analysis using matlab