fangda2

MATLAB关于汽车制动分析 汽车理论 汽车理论 汽车理论(MATLAB analysis on the brake)

matlab 下基于近邻函数值法则的聚类算法(Matlab-based neighbor function of the clustering algorithm rules)

对确定的一个负反馈系统，进行稳定性判断、最小相位系统判断；求取零点、极点、放大系数；绘制阶跃响应图。(To determine a negative feedback system, judge, judge the stability of minimum phase system calculating the zeros, poles, amplifying coefficient drawing step response diagram.)

主要设计了在matlab下异步电动机在dq坐标系下的仿真。(The main design of the asynchronous motor in matlab simulation in the dq coordinate system.)

求解辐射传递方程SSDN离散matlab程序(Solving the radiative transfer equation SSDN discrete matlab program)

CMMB中的RS(240,224)编码及字节交织的matlab仿真,(CMMB RS(240,224) encoding and interleaving Matlab simulation)

google memcached 客户端 jar 包(google memcached client jar)

说明：  利用matlab调用cplex实现一个简单的优化例子，例子中对参数设置有详细的说明，非常适合初学者，因为上传不能小于1k，所以复制了一下。(Using MATLAB to call CPLEX to realize a simple optimization example. In the example, the parameter setting is explained in detail, which is very suitable for beginners)

这个MATLAB的代码集是通过多个程序实现语音信号的各种分析,包括清音浊音,计算自相关函数,计算基因周期等(The MATLAB code set is more than one program by a variety of voice signal analysis, including voiceless voiced, calculated from the correlation function to calculate genetic cycles)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!