chaokuaidaijichu

最短路径的计算,是我自己变得,比较适合建模用,希望对大家有用.(The shortest path calculation, is my own to become more suitable for modeling with the hope that be useful to everyone.)

说明：  AR.m的matlab源程序，用于预测模型使用，别人给的！(AR.m matlab source code for the prediction model using someone else' s!)

实现得到一个简单函数的最优解 利于在其基础上进入深入 学习(To get a simple function to achieve the optimal solution to facilitate their access to in-depth study on the basis of)

％ This program calculates radar ranges in a jamming environment. It works ％ with both Stand-off jamming and self-screening jamming for steady and Swerling type ％ targets with frequency agility, coherent integration and standard atmosphere/rain ％ attenuation( This program calculates radar ranges in a jamming environment. It works with both Stand-off jamming and self-screening jamming for steady and Swerling type targets with frequency agility, coherent integration and standard atmosphere/rain attenuation)

calculation PI by method MC

EOF算法简介及相关程序，运用一种新算法很好的利用原始数据去预测未来数据。(About EOF algorithm and related procedures, using a new algorithm to good use raw data to predict future data.)

Permanent magnet synchronous motor parameters, structure, performance design process.

边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的边缘检测中，实验证明该算法非常适合含噪图像的边缘检测。 2 SUSAN边缘检测简介 (err)

毕设内容，高光谱图像基本处理，分析了该信号的时域、频域、倒谱，循环谱等,数据模型归一化，模态振动。( Complete set content, basic hyperspectral image processing, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Normalized data model, modal vibration.)

说明：  利用遗传算法解决50个城市tsp问题，适合初学者。(The use of genetic algorithm to solve the issue of 50 cities tsp, suitable for beginners.)