FFTPLOT

这是做SRP项目的一个蚁群算法的源代码的M文件，给大家看看，作为一个参考吧。(This is to do an ant colony algorithm SRP project source code for everyone to see it as a reference.)

计算方法，曲线插值，普通插值法。自编程序。附带图片。(Calculation methods, curve interpolation, ordinary interpolation. Self programming. With pictures.)

非常经典的SVM工具箱，希望对大家有所帮助(Very classic SVM toolbox, we want to help)

All chapters are Open Access articles distributed under the Creative Commons Non Commercial Share Alike Attribution 3.0 license, which permits to copy, distribute, transmit, and adapt the work in any medium, so long as the original work is properly cited. After this work has been published by Sciyo, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source.

BP神经网络实现图像压缩，用的matlab语言，图像处理中很常用的(BP neural network image compression, using matlab language, very commonly used in image processing)

说明：   本文采用Matlab及Simulink软件包对cdma2000的前向业务信道进行时间流和数据流仿真，并对仿真结果进行了对比分析。(this paper Matlab and Simulink package cdma2000 the right to the business Channel time-flow and data flow simulation, and simulation results of the comparative analysis.)

MATLAB中插值与拟和小函数，便于大家节省敲打键盘的时间 你们只要能够看懂它 并能够在合适的地方调用这些思想 并且有能力进行适当的变化 就已经到家了(MATLAB with the proposed interpolation and small function, This can help people save time and beating the keyboard You will be able to read it and to the appropriate local calls and have these ideas the capability to conduct appropriate changes already extraordinary)

基于matlab利用一维FDTD方法对电磁波传播及反射透射进行仿真(Based on matlab using one-dimensional FDTD method and the reflection and transmission of electromagnetic wave propagation simulation)

Biosignals processing image GUI

功能：用BFGS算法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数及其梯度； varargin是输入可变参数变量，简单调用bfgs时可以忽略它， 但是其他程序循环调用时将会发挥重要作用 输出：x,val分别是近似最优点和最优值，k是迭代次数。(Function: BFGS algorithm for unconstrained problem: min f (x) Input: X0 is the initial point, fun, gfun each objective function and its gradient varargin variable parameter is the input variable, it can be ignored when a simple call bfgs , but other programs will play an important role when the cycle is called output: x, val are approximate optimum and the optimal value, k is the number of iterations.)