14others

一个用MATLAB语言编写的摄像机标定工具箱,内容丰富，实用。(a MATLAB language of the camera calibration kit, informative and practical.)

解非线性方程及方程组的同伦算法 直接输入方程即可 好用(Solving nonlinear equations and the equations of the homotopy method can be useful equations directly)

《MATLAB程序设计教程》刘卫国第一版 源代码 水利水电出版社(" MATLAB Programming Guide" Liu Weiguo first edition of the source code Waterpower Press)

five set of data, and a specific value, the code give the closest value the given data and the idex

说明：  利用自然梯度算法，仿真盲信号分离过程，并给出学习收敛曲线(Use of natural gradient algorithm, simulation blind signal separation process, and gives the convergence curve of learning)

空间谱估计及其应用 刘德树 罗景青 张剑云 等 中国科学技术大学出版社 1997(Spatial Spectrum Estimation and Its Application Liu Shu-Jing-Qing Luo ZHANG Jian-yun and other Chinese Science and Technology University Press, 1997)

Routing of packets has been the primary method by which data have been transmitted across packet networks, such as the Internet. When multiple users are interested in the same data the same source, multicast routing is typically used. However, routing alone is not sufficient to achieve the multicast capacity of a network. Ahlswede at [1] showed that using network coding that requires intermediate nodes to encode incoming data a multicast capacity equal to the minimum of the min-cut capacities of all the receivers can be achieved. This multicast capacity cannot be achieved using only routing (with or without replication). There has been a lot work going on to use network coding for multicast in satellite systems.

图像处理实验 matlab仿真。图像的读取、保存。图像间的算数运算、逻辑运算(Image processing matlab simulation experiments. Image read, save. Arithmetic operation between images, logical operations)

基于simulink的PWM可控整流器，可以通过控制占空比实现所需的电压！(PWM controlled rectifier based on simulink, can be realized by controlling the duty ratio required voltage!)

说明：  CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。(CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering.)