jpeg-matlab

在hfss中matlab编程，实现合并操作(In hfss in matlab programming, to achieve the combined operation)

说明：  RS的编码就是计算信息码符多项式，除以校验码生成多项式之后的余数；rs编码的基本实现，包括add,mul函数等；(RS coding is to calculate the information symbol code polynomial, divided by the check code generator polynomial after the remainder rs basically coding, including add, mul function, etc. )

说明：  模型降阶方法 MATLAB schur方法(Using matlab to program the control system )

基于MATLAB对EMD算法分解的例子，学习希尔伯特-黄变换的可以参考学习(Based on the example of EMD algorithm decomposition in MATLAB, learning Hilbert-Huang transform can be referred to.)

说明：  最短路径问题的重要算法实现。已知点的邻接矩阵，可计算出出发点至目标点的最短路径即最短路径长度(The important algorithm implementation of the shortest path problem. Given the adjacency matrix of points, the shortest path length from the starting point to the target point can be calculated)

用matlab编写的CART数据挖掘决策树算法(using Matlab CART prepared by the Data Mining Decision Tree Algorithm)

对给定区域进行delaunay三角形化的程序，例子中为正方形区域，可以通过tecplot查看显示结果(Delaunay triangulation program on a given area for example, square area, you can view the results by Tecplot)

matlab中电气化铁路牵引网上的AT所模型。(matlab electrified railway traction in the model AT Internet.)

说明：  基于matlab的免疫克隆算法，求解一元函数的最优解，可直接运行，出图(Matlab-based immune clonal algorithm to solve the optimal solution of functions of one variable, and can be run directly out of Figure)

脑波FFT变换 调用格式见m文件头部说明（下边也复制了一份） 有配套.DLL.h.lib.ctf文件，可以在C或C++环境中调用 ------------------------------------ 保存为FFT.m文件 输入参数： N：进行FFT变换的点数（要求是2的N次幂）； fs：信号的采样频率（frequency of simpling） sig：进行FFT变换的数组（一维）。 输出参数： f_sig:变换后的信号（一维数组） E_delta、E_theta 、E_alpha、E_beta分别表示δθαβ相应频段的能量加和。 other为其余频段的能量加和（供参考用） -------------------------------------------------------------------------- function[ f_sig ,E_delta , E_theta , E_alpha , E_beta , other ] = FFT( N , fs , sig )(EEG FFT transform is called m file format, see head illustrate the matching DLL files, you can be C or C++ to call------------------------ simpling) sig: to FFT transform array (one dimension). Output Parameters: f_sig: transformation of the signal (one-dimensional array) E_delta, E_theta, E_alpha, E_beta δθαβ, respectively, the energy increases and the corresponding frequency band. Other for the rest of the energy band increases, and (for reference) -------------------------------------------------------------------------- function [f_sig, E_delta, E_theta, E_alpha, E_beta , other] = FFT (N, fs, sig))