classification

this is matlab code to solve various cgsolve problem!!!

最优化理论，最速下降法，matlab实现，很好地，分享一下(Optimization theory, the steepest descent method, matlab realize, well, to share)

说明：  基于MATLAB的AM调制与解调，基于MATLAB的DSB调制与解调(Matlab-based AM modulation and demodulation)

fingerprint identification system

实现快速贝叶斯算法,先验超参数分布不再使用高斯函数而是用拉普拉斯函数代替(Fast Bayesian algorithm, a priori super-Gaussian parameter distribution is no longer used but with the Laplace function instead)

Time Frequency Multiplex Preamble Design for Joint I1Q Imbalance, CFO and Channel Estimation in OFDM Systems IEEE Paper

实现lda分类，在实验中运行效果很好，优于PCA(used in lda classification,get good performance in test,better than PCA)

三维地质雷达正演模拟,可以对二进制数据读取，利于学习(3D GPR simulation)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

说明：  matlab三角插值算法(matlab triangle interpolation algorithm)