neuralnetwork-daolibai

Algorithme Pivo and PivoGauss in resolution of polynomial equation

proe demo basic concepts

Sample Code which helps to understand how to use LocationManager.

说明：  matlab 图像处理 显示两幅子图像的归一化互相关(matlab image processing show that two sub-image of normalized cross-correlation)

对分法求极小值，最优计算方法的matlab范例(Points system and the minimum, optimal calculation methods matlab example)

this program tests and plots channel impulse response for CM3 channel

可以得到很精确的幅值、频率、相位估计，相控阵天线的方向图（切比雪夫加权），matlab开发工具箱中的支持向量机，直线阵采用切比学夫加权控制主旁瓣比，滤波求和方式实现宽带波束形成，数据模型归一化，模态振动。( You can get a very accurate amplitude, frequency, phase estimation, Phased array antenna pattern (Chebyshev weights), matlab development toolbox support vector machine, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Filtering summation way broadband beamforming, Normalized data model, modal vibration.)

快速谱峭度方法，选择信号峭度最大的频段进行滤波，对滤波好信号进行包络谱分析(Fast spectral kurtosis method, select the frequency band with the maximum signal kurtosis for filtering, and analyze the envelope spectrum of the filtered signal)

%solve u_xx + u_yy = f(x,y) % over the region D = [x0,xf,y0,yf] = {(x,y) |x0 <= x <= xf, y0 <= y <= yf} % with the boundary Conditions: % u(x0,y) = bx0(y), u(xf,y) = bxf(y) % u(x,y0) = by0(x), u(x,yf) = byf(x) % Mx = # of subintervals along x axis % My = # of subintervals along y axis % tol : error tolerance % MaxIter: the maximum # of iterations

说明：  LMD，局部均值分解算法，主要用于对振动信号进行分析，不需要设置分解参数(LMD, a local mean decomposition algorithm, is mainly used to analyze vibration signals without setting decomposition parameters.)