4Tx_2Rx_STBC

设计特定的进化操作或约束修正因子。文献[ 28 ]采用罚函数法,利用非固定多段映射罚函数对约束优化问题进行转化,再利用PSO求解转化后的问题,仿真结果显示PSO相对进化策略和遗传算法有优越性,但其罚函数的设计过于复杂,不利于求解(Operation or design of the evolution of specific binding correction factor. Literature [28] The penalty function method, using non-stationary multi-stage fine mapping function to transform constrained optimization problem, and then transformed using PSO to solve the problem, simulation results show that PSO is relatively evolution strategy and genetic algorithm has advantages, but the penalty function The design is too complex and not conducive to solving)

一个脸部、皮肤、眼睛探测,眼睛匹配的matlab源码(Face & Eye tracking, including face, skin and eye detection and matching.)

“模拟退火”算法是源于对热力学中退火过程的模拟，在某一给定初温下，通过缓慢下降温度参数，使算法能够在多项式时间内给出一个近似最优解。退火与冶金学上的‘退火’相似，而与冶金学的淬火有很大区别，前者是温度缓慢下降，后者是温度迅速下降。(Simulated Annealing)

susan用PML边界条件编写的FDTD三维程序(susan with PML boundary conditions for the preparation of three-dimensional FDTD program)

大津法确定图像二值化阈值,为MATLAB语言编写的M文件, 可直接使用(Otsu method to determine the threshold image binarization)

matlab内容精讲，自己看过了感觉挺好的 推荐学习matlab的同学们可以看看(The matlab content succinctly and have seen a very good feeling the recommended learning matlab classmates can look)

使用matlab函数，，，实现用熵值法求出任意矩阵的行或列的权重和每个值的综合参数(Entropy Method )

这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。(This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:))

matlab插值与拟合的程序及讲义。对于数值计算的学习有帮助。(matlab interpolation and fitting procedures and handouts. Numerical study for the help.)

主要针对大数据处理中的有一些数据分析和处理源程序(Major data processing have some data source for analysis and processing)