[MATLAB-secrets].David.McMahon

matlab project decision making analysis

利用雷达方程，分析在相干积累和非相干积累脉冲数两种情况下SNR增益与积累脉冲数的关系，得出相应的结论图像。(Using the radar equation to analyze the relationship between the SNR gain in the case of coherent integration and non-coherent accumulated pulse number two with the accumulation of the number of pulses, the corresponding conclusions images.)

计算电磁学，本程序用于电场积分方程求解圆柱散射。(Electric field integral equation (EFIE) for 2-D cylinder scattering. )

Matlab program for IRIS RECOGNISATION

Matlab有限元结构动力学分析与工程应用（源程序）(Matlab Code Of finite element method)

利用贝叶斯原理估计混合logit模型的参数，matlab小波分析程序，快速扩展随机生成树算法。( Bayesian parameter estimation principle mixed logit model, matlab wavelet analysis program, Rapid expansion of random spanning tree algorithm.)

此源码中包含了ButterWorth高通、低通，带通MATLAB仿真,Chebyshev高通、低通，带通MATLAB仿真,还有Notch,Peak MATLAB 仿真(This source includes ButterWorth high-pass, low pass, band pass MATLAB simulation, Chebyshev high-pass, low pass, band pass MATLAB simulation, as well as Notch, Peak MATLAB simulation)

很好用的osu_svm.堪比libsvm， 有疑问可以直接联系。(Good used osu_svm. Rivals libsvm, doubt can have a direct link.)

Computer-generated "random" numbers are more properly referred to as pseudo random numbers. This report explains the process of generating pseudo random numbers by residue method

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!