xunhuanmafangzhen

用最大释然估计进行频率估计，并计算可拉美罗下界，通过蒙特卡罗实验进行计算。( Relieved estimates with the greatest frequency estimation and Latin Rao lower bound can be calculated by Monte Carlo experiments calculated.)

模态分析程序，一定要有实验现场的数据，要不运行不了(Modal analysis program, there must be experimental field data, or not running)

说明：  神经网络与免疫算法的结合，用matlab编程实现一些小功能(Neural network with a combination of immune algorithm with matlab programming to achieve some small features)

四通道全息图的生成与重建代码，具有一定的借鉴意义(Code generation and four-channel hologram reconstruction, with some reference)

国外matlab，时间转换程序，层次清晰，有源代码，也有界面( Foreign matlab, time conversion process, the level of clarity, source code, there are interface)

modulation fsk cana canal awgn

广义互相关法的简单算法实现，与直接互相关法有所比较( Generalized simple algorithm to achieve cross-correlation method, and has a direct correlation method comparison)

整形规划-数值计算 Matlab 工具，可以用于科学计算，效果堪比 CPLEX(Plastic Planning- Matlab numerical tools can be used for scientific computing, the effect of rivals CPLEX)

Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST- LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), princi- pal component regression (RPCR), partial least squares (RSIMPLS) and classi¯ cation (RDA). Only a few of these methods will be highlighted in this paper. The toolbox also provides many graphical tools to detect and classify the outliers. The use of these features will be explained and demonstrated through the analysis of some real data sets.

Classify using the maximum-likelyhood algorithm(classifies using the maximum- likelihood al gorithm)