ants-matlabtoolbox

Newton-Armijo code for scalar equations: Inputs: X = initial iterate, F = function, TOLA = absolute error tolerance, TOLR = relative error tolerance, JDIFF = 0, analytic derivative, syntax: [f,fp]=f(x), JDIFF = 1, forward difference derivative , Output: x=approximate result, HIST = array of iteration history

this code implementation radar.

基于matlab的图像采集与处理系统源码。利用MATLAB软件做出一个可操作的图形化界面，该界面能实现对图像的实时采集、后续图像的处理、图像的保存，帮助使用者对实验现象进行实时采集分析。(Matlab-based image acquisition and processing system source code. Using MATLAB software to make a workable graphical interface that enables real-time image acquisition, preservation subsequent image processing, image, and help users to perform real-time acquisition and analysis experimental phenomena.)

说明：  OFDM中基于循环前缀的最大似然估计同步算法仿真(Simulation of OFDM synchronization algorithm based on maximum likelihood estimates of the cyclic prefix)

说明：  能实现孤岛检测，功能良好，能具体完成项目的内容，十分梁海阿松大(can achieve islanding detecting)

对信号的频域处理和结果的现实，有了它，你只需要选择信号对象就可以对其处理和结果分析，也便于对频域的理解(The frequency domain signal processing and the results of the reality, with it, you only need to select the signal objects can be processed and the results of its analysis, but also facilitate the understanding of the frequency domain)

Bode plot using MATLAB.. it was in our 6th sem laboratory for the purpose of examination part we studied

3D image visualization

一种非线性代数方程组的迭代解法。最早用于解算电力系统潮流。这种方法具有程序编制简单、占用内存少的优点，但算法收敛性差，计算时间长。(In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is only guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite. It was only mentioned in a private letter Gauss to his student Gerling in 1823.[1] A publication was not delivered before 1874 by Seidel.)

小波包分析提取振动信号中的特征频率，与理论分析结果相比，用于建立主成分分析模型。( Wavelet packet analysis to extract vibration signal characteristic frequency, Compared with the results of theoretical analysis, Principal component analysis model for establishing.)