Blanchard_Sandu_ISTVS_07

说明：  《matlab的90个实例(GUI)》是我学习GUI的宝贵资料，和大家分享(&quot Matlab 90 instances (GUI)&quot is the GUI I learn valuable information, and share)

该算法在原有的算法基础上提出的TDOA泰勒算法，可以用在传感器定位和蜂窝网定位。且该算法的定位精度比较高。(The algorithm is based on the original algorithm proposed TDOA Taylor algorithm can be used in sensor positioning and cellular location. And the algorithm is relatively high positioning accuracy.)

克立格插值工具箱，matlab版，里面有很多程序，有帮助就看看，很不错-Kriging interpolation toolbox, matlab version, which has a lot of procedures, there is help on the look, very good

说明：  多能源系统优化包含粒子群SVM等优化算法，提供模糊数据以及仿真结果，仅供参考哦(Multi energy system optimization includes particle swarm SVM and other optimization algorithms, providing fuzzy data and simulation results for reference only)

基于MATLAB的数字滤波器，带有gui界面(Matlab-based digital filter, with GUI interface)

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. )

《光学系统设计》书籍对应的所有镜头zemax文件，方便光学设计者参考、调用(All lenses zemax file Optical System Design book corresponding to facilitate reference optical designer, call)

常用压缩感知恢复算法,OMP,ROMP,gOMP等，压缩感知入手基本算法(Compressive Sensing Reconstrication algorithm)

mathematica5简明教程 关于mathematica的教程，值得看一看咯！！！(mathematica5 concise tutorial mathematica about the tutorial, it is worth a look pyronaridine! ! !)

这是用matlab工具箱解决热传导微分方程的一个实例，这里用正六边形、圆形、矩形的三个算例，同时画出来了图像表示温度分布(you can use it to solve the equation and make a picture with matlab,it s easy and straight)