Liver-Images-Classifying

这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活，允许引入的术语（如果是极少数需要包括色散效应高阶导数）。例如，如果一个人渴望解决的一个方程的形式： （四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3）== 0 Ÿ 它可以解决使用以下代码： Ž = linspace（0,1,512） x = linspace（-5,5,1024） psi0 =进出口（- x的。^ 2） Ð = D_lateral1D（十，2）-0.25 * D_lateral1D（十，3） 字段= LinearBPM（psi0，有D，Z） 凡D_lateral1D是一个函数，提供“取代”的微分算子。 这个函数是在一个非线性的BPM，我曾对（分步，谱方法等），将提交给我，当我完成他们的文件和组织功能更复杂的设置非常初期阶段。 (This is a simple FFT based beam propagation method for potential-free 1+1+1D Schrodinger equation. The software if flexible and allows to introduce high-order derivatives in the term (very handful if is needed to include dispersion effects). For example, if one desires to solve an equation in the form: (d/dz+ d^2/dx^2- 0.25*d^3/dx^3)Y == 0 It can be solved using the following code: z=linspace(0,1,512) x=linspace(-5,5,1024) psi0=exp(-x.^2) D=D_lateral1D(x,2)-0.25*D_lateral1D(x,3) field=LinearBPM(psi0,D,z) Where D_lateral1D is a provided function that "replaces" the derivative operator. This function is a very early stage in a more complex set of non-linear BPM functions that I have made (split-step, spectral methods, etc.) and I will submit them when I finish their documentation and organization. Sorry for my English, I m eager for your comments. )

求解偏微分方程的实例程序, 其他人不需帐号就可自由下载此源码 (solve PDE problom)

基于MATLAB平台实现利用FFT计算线性卷积(MATLAB-based platform for the realization of the linear convolution calculation using FFT)

基于matlab的FIR滤波器设计工具箱，及其使用说明。工具箱内具有超多优化工具：sdpt3/Sedumi等(FIR Filter Optimization Toolbox User s Guide Version 2.0)

matlab平台下对人工神经网络中的LMS等算法进行的实现(the realization of artificial neural network, the LMS algorithm matlab platform)

信道是多径信道,升余弦滚降 ，取样时间无偏差的信道特性,与波形功率谱,与误码率仿真(Channel is multipath channel or Cosine, sampling time without deviation channel characteristics, and power spectral waveform, with BER simulation)

谱图理论在图像分解中的Matlab源代码，包括各功能子函数，源文件中附有使用说明(Spectral Graph Theory in Image Decomposition Matlab source code, including the function of Functions, the source file for use with)

本程序为我自己编写的，能够实现用枚举法背包问题(This program written for my own, to achieve knapsack problem with the enumeration method)

Test MCC very powerfull!

说明：  matlab编写的[数据挖掘]分类算法DSLVQ算法程序。(Matlab prepared by the [data mining] classification algorithm DSLVQ algorithm.)