47567955AIC

说明：  比较简洁的OFDM+QPSK的仿真,带AWGN和误码率统计(Simple comparison of the simulation of OFDM+ QPSK with AWGN and bit error rate statistics)

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less than or equal to the numbe

One Rank Cuckoo Search (ORCS) algorithm Implementation of the ORCS optimization algorithm.

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)

svd和nmf的对比，在时间和效果对比，各个算法的特点(svd VS nmf)

拉丁超立方体抽样，是一种初始化常用的方法，使得种群初始化更均匀(Latin hypercube sampling is a common method of initialization, which makes the population initialization more uniform)

卡尔曼滤波程序，C++/C,matlab.(Kalman filtering procedures, C++/C, matlab.)

关于rls算法的改进算法，并对其进行分析(Algorithm for rls algorithm and analyze)

适用于径向基网络初学者,是一个关于逼近hermit函数的源程序(applied to the new learner of RBF)

这个程序是一个具有EEDM信号分解的模块程序，它能够将输入的信号进行EEDM分解，从而得到所需要的各个信号分量。(This program is a signal having EEDM decomposition module program, the input signal that can be EEDM decomposition, thereby obtaining desired signal components.)