engine-map

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))

隶属函数型神经网与模糊控制融合的解耦程序(membership function neural network and fuzzy control of the integration process Decoupling)

在采样点之间的频率响应是由各采样点的加权内插函数叠加而形成的，因而有一定的逼近误差。该误差大小取决于理想频率响应的形状，理想频响特性变化越平缓，内插值越接近理想值，逼近误差越小；反之，如果采样点之间的理想频响特性变化越陡，则内插值与理想值之间的误差越大，因而在理想滤波器不连续点的两边，就会产生尖峰，而在通带和阻带就会产生波纹。用频率采样法设计的实际滤波器频率响应如图1所示。由图1可知，实际滤波器的阻带衰减取决于内插函数第一旁瓣幅度值的大小，其大小决定了所设计的滤波器的阻带性能。(Interpolation function superimposed between sampling points of the frequency response is weighted within each sampling point and the formation of, and thus have a certain degree of approximation error. The size of this error depends on the shape of the ideal frequency response and the ideal frequency response characteristic change is more gentle, interpolated and more close to the ideal value, the smaller the approximation errors Conversely, if the sampling point between the ideal frequency response characteristics of the steeper the change, and then the interpolated the larger the error between the ideal value, and thus in the ideal filter both sides of the discontinuity point, will produce spikes occurs ripple in the passband and stopband. Actual design frequency sampling filter frequency response is shown in Figure 1. Figure 1 shows, the actual filter stopband attenuation depending on the interpolation value of the size of the first side-lobe amplitude of the function that determin)

an adaptive quite general fast multipole method in 2 dimensions with a nice Matlab-interface.

电力系统潮流计算 内点法、3机九节点程序等(flow calculation)

主要是计算光学球差的matlab gui 代码(to calculate the Spherical aberration)

对输入的数字图像进行二维离散傅立叶变换，由matlab实现(The input digital image to two-dimensional Discrete Fourier Transform, from matlab realize)

This file discribes a structure for stabilization and tracking between two identical hyperchaotic lu systems with different initial conditions and nonlinear control input. On the basis of Lyapounov theory, a first order sliding mode controller is designed for global asymptotically stabilization and tracking, so error dynamics between hyperchaotic lu master and slave system satisfy by input nonlinear control signal. Then a second order sliding mode controller by using super-twisting algorithm is designed. In this file, results of simulation shows the rate of effectiveness from this suggested method.

合成孔径雷达成像程序，使用RD算法，对点目标进行仿真，实现点目标的成像(Synthetic aperture radar imaging procedures, the use of CS algorithm, the point target simulation to achieve point target imaging)

包含Dijkstra、Floyd、kruskal、动态规划、随机数生成等MATLAB程序(Contains Dijkstra, Floyd, kruskal, dynamic programming, random number generator, such as MATLAB program)