serialCOM

基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 (Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data samples 2, using the C++ or Matlab programming environment to realize the algorithm, and with a given data packet to the algorithm correctness testing )

program in matlab code

合成孔径雷达DPCA程序，希望对大家有用(synthetic aperture radar DPCA procedures in the hope that it may be useful for )

Aplication for Matlab, for a problem using SVM

MATLAB环境下开发的混沌理论的工具箱，包含各种实例，学习混沌理论的好帮手(Chaos theory toolbox, matlab )

说明：  C++ IIR滤波器源代码，速度远高于matlab(C++ IIR filter source code, faster than matlab)

NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点，该方法的基本思路是基于蒙特卡洛采样，随机将样本集划分为校正集与预测集，用校正集建模，并对没参与建模的样本进行预测误差计算，进行几千次这样随机采样，每个样本点都可得到其预测误差分布。如果奇异样本在校正集中，整个模型的质量将受到影响；相反，如果奇异样本在预测集中，仅此样本的预测结果受到影响。(NTKL method can simultaneously detect abnormal spectrum and abnormal reference data points and their common abnormal point, the basic idea of this method is based on the monte carlo sampling, sample set random be divided into calibration set and prediction set, using correction modeling, modeling and participated in the samples of the prediction error calculation, a thousands of times that of random sampling, each sample point can be obtained the prediction error distribution.If singular samples in correction, the model of quality will be affected.Singular samples in predicting concentration, on the contrary, if only for the sample prediction results are affected.)

数学建模中常用的matlab算法集合,包括最小生成树，最短路径，方程求根，随机模型等等(Commonly used matlab algorithm set in mathematical modeling)

说明：  这是一个计算具有线性约束的自适应滤波器权系数的程序。是本人做课题编出来的(This is a calculation of the adaptive filter with a linear constraint weights procedures. Is the subject of code out, I do)

Etude de la modulation numérique MDA-4