memoire

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.)

说明：  hi my name is bhavesh pithva from gujarat i am a gtu student i upload a best papers for asics

十几篇英文文献，关于PHD滤波算法和SLAM问题的。在网上不容易下到，拿来和大家分享下。希望能有用处。(More than a dozen English literature, about the PHD filter algorithm and SLAM problem. Next to the Internet is not easy, and we used to share with you. I hope to have useful.)

说明：  这是用MATLAB仿真平台，实现无线传感器网络定位算法仿真。(This is a MATLAB simulation platform, wireless sensor network localization algorithm simulation.)

单相交流调压电路的Matlab仿真实验，内有波形图(Matlab simulation of single-phase AC voltage regulator circuit, with a waveform graph)

旅行商（TSP)问题的遗传优化算法源代码(Genetic traveling salesman (TSP) problem optimization algorithm source code)

噪声过滤器，实现混合噪声的去噪功能，能运行，由运行结果图！！(The noise filter, the realization of mixed noise denoising function, can run, run by the result map!! )

最小二乘法是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。(Least squares method is a mathematical optimization techniques. It matches by squaring and finding data to minimize the error of the best functions. Least square method can easily be obtained unknown data, and so these squared error between the obtained data and the actual data and the minimum. The least squares method can be used for curve fitting. Some other optimization problems can be expressed by the least squares method by minimizing or maximizing entropy energy.)

Magnetique levitation control simulation

清华大学张旭东老师现代信号处理第二次matlab习题(The second matlab exercise in modern signal processing by Xudong Zhang, Tsinghua univ.)