danbai

关于卡尔曼滤波的好书，详细介绍了卡尔曼滤波的原理以及实现。(detial Kalman Filtering,and give various examples)

Image fusion is the process of combining two images and obtaining the resultant image which is having more information than the two input images.

example simulation s of analysis of electrical machinery and drive systems - Pual C. Krause - Ex4

its an rectifier circuit with PWM PI control technique for high accuracy and better output with very low THD.

在bate1版的基础上： 增加了关闭某条便笺时，记忆某条便笺的位置和大小的功能。 跟随窗体的按钮不再会溢出 改变了帮助文本的样式 在帮助中添加了作者信息 便笺的默认储存位置从原来的 D:\_NOTE_TEMP 更改为了 现在的 D:Program Filesakai_note 优化了使用过程中的说明与提示 临时文件单独存放与临时文件夹 解决了退出编辑状态时，部分时候文本不能换行显示的问题 akai 2011 from PHY. of CCNU 2013-2-22 ========================================= 在bate2版的基础上： 产品名由原来的 akai_note 改为 ackeline_note 便笺的默认储存位置从原来的 D:Program Filesakai_note 改为：D:Program Filesackeline_note 增加了便笺可以更改颜色的功能，六种颜色随心选！ akai 2011 from PHY. of CCNU 2013-2-22 =========================================(In the version on the basis of bate1: Increased when closing a bar notes, location and size of the function of memory in a memo. Follow the form of the button will no longer overflow Change the help text styles With the help of information added to The default storage location notes from the original D: _ NOTE_TEMP change order Now the D: Program Files akai_note Optimize the use of the process instructions and tips Separate storage of temporary files and temporary files folder Solve the exit edit state, some time can not wrap text display issues akai 2011 from PHY. of CCNU 2013-2-22 ========================================= Based on the version of the bate2: Product name changed from the original akai_note ackeline_note The default storage location notes from the original D: Program Files akai_note Read: D: Program Fi)

借助于MATLAB GUI模拟甚高频ACARS系统的下行数据链(The downlink data chain of the high frequency ACARS system is simulated with GUI MATLAB.)

说明：  一些matlab编写的典型遗传算法实例,有助于练习遗传算法(Matlab write some typical examples of genetic algorithm to help practicing genetic algorithm)

mamdani method and sugeno method are tested in this problem

Copula函数，以及相关性计算和相应的散点图(Copula compute)

盲均衡1，采用的自适应算法为横模算法 （blind1cma）()