鲁棒控制：线性矩阵不等式处理方法

penalty function_fletcheReeves

在高斯背景下，测试在随机信号情况下的大特征值个数问题，并仿真了杂波功率谱(Gaussian background, test the number of large eigenvalues ​ ​ in the case of random signals, and simulate the noise power spectrum)

Matlab_ and _VC + + mixing programming process explanation (including part of the problem solutions)(Matlab_ and _VC++ mixing programming process explanation (including part of the problem solutions))

三维FDTD程序，计算了一细直半波振子的方向图和方向性系数，考虑了细天线的处理方法。(Three-dimensional FDTD program to calculate a fine straight half-wave dipole pattern and directivity, consider the approach of fine antenna.)

此段代码为小波图像增强，适用于初学者，请下载联系。(This code for the wavelet image enhancement for beginners, download links.)

在matlab环境下，列主元高斯消去法的通用程序(In the matlab environment, the main element of the general program Gaussian elimination)

基于细菌觅食算法的优化计算的matlab程序实现(Bacteria foraging optimization algorithm based on the calculation of the matlab program implements)

This zip file describes about Basic radix 2fft,radix 4fft and shows the basic difference between above mentioned fft with radix 16 fft

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.)

小数据量法计算最大lyapunov指数工具箱，原来的那个工具箱中有点误差，现在改进了只对前一部分直线状数据进行计算，使结果更加准确(A small amount of data calculated index of the largest lyapunov toolbox, the original error that the toolbox a bit, and now has improved only in a straight line like the first part of the data is calculated so that the results more accurate)