julei

提供matlab7.0下载 Matlab 7.0.1 R14 SP1 (3CD带序列号)(Provide matlab7.0 download Matlab 7.0.1 R14 SP1 (3CD with serial number))

卡尔曼滤波不错的程序，很实用，大家好好研究一起分享一起进步吧(Kalman filtering good program, very practical, we make good progress in research to share with the Bar)

本文的程序实现在屏幕上随机产生不同大小的雪花，并以不同的速度下降。相对于第一版，它在很多性能上做了优化，直接在桌面的上下文中绘制雪花。而且，现在也通过RedrawWindow，实现在桌面的图标(如任务栏)上绘制雪花了。你可以用它来学习GDI。(Falling Snow on Your Desktop! Part II This article explains how to create an application that makes it snow on the desktop. Since my previous article was published, I received many user inquiries about how to improve the program. This article demonstrates how to create snow flakes that fall on your desktop, by using the draw functions directly in the desktop context. When the application starts, it creates an array of snow flakes and starts the timers for each flake. Manipulation of the RedrawWindow function allows the drawing of flakes behind and over the desktop icons, making the application more impressive. )

用蒙特卡洛法对建立起的DF数学模型实现复合材料特性边界的估计(Monte Carlo method to establish mathematical models of DF characteristics of composite materials to achieve the estimated boundary)

关于MCGS锅炉控制的实验事例，供大家参考(the example about MCGS)

基于 Ma t l a b语言的遗传算法工具箱支持二进制和浮点数编码方式， 并且提供了多种选择、 交叉、 变异的方法。 通过具体实例对 Ma t l a b的遗传 算法工具箱的用法进行 了说 明介绍. 已通过测试。 (Binary and floating-point encoding genetic algorithm based on Ma tlab language toolbox support, and provides a variety of options, cross-variation method. Through concrete examples of the Ma tlab genetic algorithm toolbox usage instructions describe. Has passed the test.)

matlab patchwork经典方法的程序。matlab patchwork经典方法的程序。(matlab patchwork classic method of procedure. matlab patchwork classic method of procedure.)

MPC5606的 DMA开发 负责吧数据从变量搬运出去(development DMA )

文档介绍了matlab工具箱的使用情况。对于初学者是非常有帮助的。(Document describes the use of matlab toolbox. For beginners it is very helpful.)

一些介绍系统参数辨识方法的论文，包括迭代梯度算法，最小二乘算法等。很好的资料。(Some paper describes the system parameter identification methods, including iterative gradient algorithm, least squares algorithm. Good information.)