example_lines

试用时域最小平方误差准则（最小平方逆设计）设计一个具有四项系数的IIR DF的系统函数，使其在y(n)=[3,2,1]输入激励下，输出v(n)逼近d(n)=[2,0.2,0.05]。令v(-1)=v(-2)=0。求出v(n)的前8个样值与d(n)进行比较。用matlab实现了此要求。(trial at the least square error domain guidelines (minimum inverse square design) design with a four DF IIR coefficient of the system function, so in y (n) = [3,2,1] incentive to import, export v (n) approximation d (n) = [2,0.2,0.05]. So v (1) = v (2) = 0. Get v (n) of eight samples value d (n) comparisons. Using Matlab realization of this request.)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

小区间干扰协调技术研究代码，利用matlab编程实现(Inter-cell interference coordination technology research code, the use of matlab programming)

Single objective Particle Swarm Optimization. Matlab Code

processing the signal which is chirp

spvwm模块,matlab/simulink环境中搭建，经测试模型正确。(the module of svpwm,Matlab environment to build)

CDMA2000下行链路仿真模块的matlab实现代码(CDMA2000 downlink simulation module)

这是一个超级方程,运用MATLAB进行解得,直接设置参数,即可得到方程解.(This is a super-equations, the use of MATLAB to solve for, directly set the parameters, equations can be obtained.)

Harris detector The code calculates the Harris Feature Points When you execute the code, the test image file opened and you have to select by the mouse the region where you want to find the Harris points, then the code will print out and display the feature points in the selected region. You can select the number of FPs by changing the variables max_N & min_N

可将输入的RGB图像转化为灰度图像！在Matlab环境下编程实现。(RGB images can be input into a gray-scale image! In the Matlab programming environment.)