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图像加乘性噪声后 有门限平滑 不加门限平滑后图像(image processing noise gate)

3D蒙特卡洛光线追迹程序。可以追迹光线在介质表面的反射、漫反射、吸收等情况。(3D Monte Carlo ray tracing program, written with the GUI. You can trace rays in the case of the reflective surface of the medium, diffuse reflection, absorption and the like.)

风电阵风、随机风等几种风的simulink模型及并网(Simulink model and grid connection of wind power)

中心差分法，matlab计算结构动力学响应程序。(Central difference method, structural dynamics matlab calculate the response program.)

matlab编写的meanshift程序，在南加州大学例例程的基础上做了修改，在初期学习meanshift上非常有用 (matlab prepared meanshift procedures routine in the University of Southern Callifornia made the basis of changes in the initial study is very useful meanshift )

用MATLAB进行仿真，模拟在生物化学领域中对物质主成分的分析(Using MATLAB simulation, simulation in the field of biochemistry for material principal component analysis)

用于求解声场在波导中的分布,并研究入射声波在非均匀介质中的传播情况(get the distribution of the pressure)

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. )

用matlab实现经典游戏俄罗斯方块，用matlab实现经典游戏俄罗斯方块(classical game,Russia Block,use matlab,classical game,Russia Block,use matlab,)

模糊神经网络采用matlab编程 o install NEFCON follow these steps: 1. Unpack the tar file NEFCON.TAR into your MATLAB working directory: tar xf NEFCON.TAR 2. Start MATLAB 3. Change to the installation directory. 4. Change to the NEFCON directory. 5. Start the STARTUP M-file to initialize NEFCON.(FNN using Matlab programming o install NEFCON follow these steps : 1. Unpack the tar file NEFCON.TAR MATLAB into your working directory : tar xf NEFCON.TAR 2. Start MATLAB 3. Change to the installation directory. 4. Change to the NEFCON directory. 5. Start the STARTUP M-file to initialize NEFCON.)