fourier_demo

MATLAB HELP FUNDENMENTAL IN YOUR CODE 2 IN FILE

说明：  function [ret,x0,str,ts,xts]=smg(t,x,u,flag) smg is the M-file description of the SIMULINK system named smg. The block-diagram can be displayed by typing: smg. SYS=smg(T,X,U,FLAG) returns depending on FLAG certain system values given time point, T, current state vector, X, and input vector, U. FLAG is used to indicate the type of output to be returned in SYS.

matlab在大气科学中的应用~这是介绍如何在大气科学研究中使用matlab的入门教程(matlab in atmospheric science applications- this is how to use matlab in atmospheric sciences Tutorial)

谱估计中的MUSIC算法 仿真，简单明了，对学习谱估计的方法也很大的作用(MUSIC spectral estimation algorithm in the simulation, simple and clear, the learning method of spectral estimation is also a great role)

Simple Tracker *Tracking* , or particle linking, consist in re-building the trajectories of one or several particles as they move along time. Their position is reported at each frame, but their identity is yet unknown: we do not know what particle in one frame corresponding to a particle in the previous frame. Tracking algorithms aim at providing a solution for this problem. (SIMPLETRACKER a simple particle tracking algorithm that can deal with gaps *Tracking* , or particle linking, consist in re-building the trajectories of one or several particles as they move along time. Their position is reported at each frame, but their identity is yet unknown: we do not know what particle in one frame corresponding to a particle in the previous frame. Tracking algorithms aim at providing a solution for this problem. |simpletracker.m| is- as the name says- a simple implementation of a tracking algorithm, that can deal with gaps. A gap happens when one particle that was detected in one frame is not detected in the subsequent one. If not dealt with, this generates a track break, or a gap, in the frame where the particle disappear, and a false new track in the frame where it re-appear. )

conversion binary to c

This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.

自己做出来的simulink例子，对理解汽车四轮转向很有好处。用到了LOR控制。(Make up their own examples of simulink, to understand the automobile four-wheel steering is very good.Used to control LOR.)

shrodinger solving with matlab

多目标规划优化问题 Matlab中常用于求解多目标达到问题的函数为fgoalattain(Multi-objective planning optimization problem Matlab is commonly used to achieve problem solving multi-objective function fgoalattain)