ARMA1

基于遗传算法的粒子群算法，可有效解决粒子群算法局部最优(Particle swarm optimization algorithm based on genetic algorithm can effectively solve the local optimization of particle swarm optimization algorithm)

本程序实现任意偶数大小图像第二代双正交97提升小波变换(This procedure of an arbitrary even-size images to enhance the second-generation dual-orthogonal wavelet transform 97)

Bayesian macroeconometrics

逻辑回归实现线性分类器，文件中的readme.txt可以看到使用方法。 具体使用就是通过data.txt读入数据（默认2维数据，分为正反两类。）然后用matlab运行solve.m即可得到分类线、分类准确率。(a matlab source code for Logistic Regression. Datas in data.txt are of 2dimension and 2 types. run solve.m in matlab software to get the accuracy and the plot result.)

《通信天线建模与MATLAB仿真分析》一书配套matlab程序( Communications antenna modeling and MATLAB simulation analysis, a book matching matlab program)

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

说明：  codes related to optimization

用remez算法实现低通滤波器 并绘制频谱图(Remez algorithm using low-pass filter and draw a spectrum map)

采用算术编码、汉明编码和QASK调制方法 采用Huffman编码、卷积译码和QFSK调制方法(Using arithmetic coding, Hamming coding and modulation method used QASK Huffman coding, convolution decoding and modulation method QFSK)

基于matlab，电力系统最优潮流问题，注释详尽(Based on matlab, optimal power flow problem, detailed comments)