erjie_AR_model

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))

应用平面波法模拟蜂窝状二维光子晶体的te模带隙结构(Application of plane-wave simulation of two-dimensional honeycomb photonic crystal band-gap structure of te model)

Using hybrid particle swarm algorithm to solve TSP problems

说明：  卡尔曼滤波源代码，含有噪声设置，特别适合初学者(Kalman filter source code, with noise, especially for beginners)

求jeffcott转子模型的临界转速的matlab编程(Seeking jeffcott critical speed of the rotor model matlab programming)

Lorenz 吸引子三维相空间图，这里用四阶 Runge-Kutta 法得到微方程的离散序列(Lorenz Runge-Kutta)

one-to-all communication on mesh topology

计算差分盒维数的matlab程序 该程序只能计算size为NxN（N=2^n）的图形。(difference calculation of the box dimension procedures Matlab program only for the calculation of size NxN (N = 2 ^ n) graphics.)

说明：  matlab中一些重要的课件和资料，比较有用啊！(matlab courseware and some important information, more useful ah!)

为了平衡粒子群算法的全局搜索能力和改良局部能力，采用非线性的动态惯性权重即自适应权重法。给出一个用自适应权重的粒子群算法求多元复杂函数的最小值实例。(To balance the PSO global search capability and improved local capacity, the use of non-linear dynamic adaptive inertia weight that the weighting method. Gives an adaptive weights PSO seeking the minimum of multiple instances of complex functions.)