GrenobleBlur

用MATLAB实现加噪信号的消噪,用了三种常用方法。(de-noise programme by MATLAB，it is very useful for newerws.)

implementation of FIR and IIR filters by matlab

implementation of a simple container for classes.

滤波器高斯噪声信道模型和jake s信道模型下的加入卷积码的二进制相位调制(bpsk and convolution on the filtered gaussion noise channel model and jake s model)

说明：  采用局部线性逼近法来预测复杂的混沌时间序列。(Local linear approximation method using chaotic time series prediction)

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))

genetic algorithm program for power system

In linear algebra, Gaussian elimination (also known as row reduction) is an algorithm for solving systems of linear equations. It is usually understood as a sequence of operations performed on the associated matrix of coefficients. This method can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix. The method is named after Carl Friedrich Gauss, although it was known to Chinese mathematicians as early as 179 AD (see History section).

Systematic biases in early ERP and ERF components as a result of high-pass filtering

分别用普通构建方式和显示列表对物体进行绘制，实现各种复杂的交互控制(Were built with ordinary ways and display a list of objects to draw, to achieve a variety of complex interactive control)