simulink_Rayleigh

color gradient reflecting in cie lab color space. matlab source code. simple code.

包括各种频域滤波器：经典频域理想低通滤波器 ，经典频域巴特沃斯低通滤波器 ，经典频域指数低通滤波器， 经典频域理想高通滤波器 ， 经典频域巴特沃斯高通滤波器， 经典频域指数高通滤波器,经典频域带通滤波器 ,经典频域带阻滤波器(Including a variety of frequency domain filter: Classic ideal low-pass filter frequency domain, frequency domain classic Butterworth low-pass filter, the classic low-pass filter frequency domain index, the classic ideal high-pass filter frequency domain, frequency domain Butterworth classic Andean high-pass filter, the classic high-pass filter frequency domain index, the classical frequency domain band-pass filter, band stop filter frequency domain classics)

Nonsubsampled Contourlet Transform

跟踪中心轨迹内点法 算最优潮流 可以输入任何节点数据(The central path following interior point method to calculate the optimal power flow)

第二代curvelet变换工具箱，有快速傅里叶变换和wraping变换方法，还可以提取变换系数。有matlab版本和c++版本(The second generation of curvelet transform toolbox, with fast Fourier transform and wraping transform method, also can extract transform coefficient.With the matlab version and c++ version)

2011 西电数模校赛编程B题 一二三线城市房价的预测 用到GM11 及残差模型(GM11 )

qu elle que exemple de traitement d image pour s exercer

用matlab生成一个伪随机序列，并用国家密码管理局发布的随机性检测规范中的三种算法对它进行随机性检测(Generates a pseudo-random sequence with matlab, and released by the State Encryption Administration randomness test specification make it three algorithms randomness test)

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))

多层感知神经网络对SI发动机逼近训练,对20000组真实数据进行训练，画出仿真图(trainning net for SI enine)