200951482GAyh

code for image segmentation

说明：  卡尔曼滤波的一个典型实例是从一组有限的，对物体位置的，包含噪声的观察序列预测出物体的坐标位置及速度. 在很多工程应用(雷达, 计算机视觉)中都可以找到它的身影. 同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要话题. 　　比如,在雷达中,人们感兴趣的是跟踪目标,但目标的位置,速度,加速度的测量值往往在任何时候都有噪声.卡尔曼滤波利用目标的动态信息,设法去掉噪声的影响,得到一个关于目标位置的好的估计。 (kalman ukf matlab)

代码已经整合到文档，直接copy到matlab命令行，运行即可。用阈值分割、形态学处理等解决了很多很难分割的图像。(The code has been integrated into the document, direct copy to the Matlab command line can be run. Thresholding and morphological processing to solve many difficult to split the image.)

curvelet变换的经典快速工具箱，不够20个字(curvelet transform classic fast Toolbox)

一个很好的matlab学习讲义，很有针对性,思路清晰，重点和难点突出。具有很高的参考和学习价值.(It is a very useful tool for your learn of matlab.The thinking is clearly, important and difficult points is outstanding.So it has high value of reference and study.)

线性系统的状态空间分析与综合，程序均有详细注释(The state space of the linear system analysis and synthesis procedures have detailed notes)

Power distribution systems have tie and sectionalizing switches whose states determine the configuration of the network. Reconfiguration of distribution network is achieved through switching operation on switches of distribution network branches. Power companies are interested in finding the most efficient configuration for minimization of real power losses and load balancing among distribution feeders to save the energy and enhance the operation performance of distribution system. The objective of this thesis is to show that the ant colony optimization algorithm can be used successfully in the reconfiguration of electrical distribution networks to minimize the power losses of the system and to balance the loading of the feeders. This work is to provide a basis for power companies to use it in the reconfiguration of the distribution networks to reduce the operational costs and to enhance the performance of their networks.

HHT源代码 做时频分析的同志们可以看一下 相当经典的例子(HHT time-frequency analysis of the source code to do the comrades can look very classic example of)

建立预测烟叶中含Ｎ量的BP人工神经网络模型。。。。全局优化算法(The establishment of the forecast volume of tobacco leaves with N the BP artificial neural network model. . . . Global Optimization Algorithm)

这是一个1.5维普的程序，只要导入数据，就可以运行(his is a 1.5 program, as long as the import data, you can run)