CG

对二进制的高斯信道的误码率进行了Monte Carlo仿真，对初学者很有启发。(Pairs of binary Gaussian channel bit error rate of the Monte Carlo simulation, is very instructive for beginners.)

matlab求解粒子群，属于0-1背包问题(matlab to solve the particle swarm, belonging to the 0-1 knapsack problem)

The NCT includes 4 External validity indices and 8 internal validity indices, and the sub-routine validity_Index.m is designed to use them. This tool is suitable for the research work such as the performance comparison of different indices on estimation of the number of clusters, algorithm design by improving part codes of this toolbox. i) External validity indices when true class labels are known: Rand index Adjusted Rand index Mirkin index Hubert index ii) Internal validity indices when true class labels are unknown: Silhouette Davies-Bouldin Calinski-Harabasz Krzanowski-Lai Hartigan weighted inter- to intra-cluster ratio Homogeneity Separation iii) Others Error rate (compared with true labels) System Evolution: it is used to estimate the number of clusters and give separable degrees between clusters.

Radon transform and inverse radon , and their histogram step by step. can be use for edge detection and finding the number of object in image

雷达地杂波仿真，根据空时自适应信号处理原理，对雷达杂波进行了仿真。(radar cluster simulation)

在实际计算中，有时为了避免开方运算，或者要分解的矩阵只是对称而不是正定的，这时可以选用适合于一般对称阵的分解式(In the actual calculation, sometimes in order to avoid root operation, or just want to break down the matrix rather than positive definite symmetric, then you can choose suitable for general symmetric matrix factorization)

介绍EMD（经验模式分解）的函数基本调用和参数设置(introduce the function using and paramater setting of EMD)

瞬时干扰抑制matlab代码，压缩包，包括算法和调用实例(Instantaneous interference suppression matlab code compression package, including algorithms and sample call)

matlab经典算法，规划问题，包括优化问题实验(matlab classic algorithms, planning issues, including the optimization of experimental)

利用pca计算出两个统计量，通过对统计量的大小比较以判定故障是否发生。(Pca is calculated using two statistics, by comparing the size of the statistic to determine whether the fault occurs.)