Approximation-method--BPs-l1-norm

说明：  运行主函数qam.m，可得到调用理论误符号率曲线和仿真结果。仿真结果包括误符号率和误码率。(running qam.m main function will receive the symbols mistakenly called theoretical curve and simulation results. Simulation results include misuse of the symbol rate and bit error rate.)

估计Hurst指数，用于混沌分形分析，减低小波估计的计算量(Estimated Hurst exponent, chaos fractal analysis, and reducing the amount of calculation for wavelet estimation)

说明：  计算一组随机数的概率密度函数并画出图像，也可以读取一组数据生成它的概率密度函数。(Calculate the probability density function of a group of random numbers and draw the image. You can also read a group of data to generate its probability density function.)

说明：  用双音频输入重新仿真，实现频谱扩展功能，产生滤波后高斯过程功率谱密度和相关高斯序列时域值(Re-simulation with dual audio inputs, to achieve spread spectrum function, resulting in filtered Gaussian process Gaussian power spectral density and the associated value of time-domain sequence)

利用函数MadHG生成规则LDPC码的校验矩阵H，其行重为6,列重为3,行数为列数一半(行数越大越好)，H中任意两列没有围长为4的圈，并得到H对应的生成矩阵G，可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)

Harris采用了一种新的角点判定方法。矩阵M的两个特征向量l1和l2与矩阵M的主曲率成正比。Harris利用l1, l2来表征变化最快和最慢的两个方向.若两个都很大就是角点,一个大一个小就是边缘,两个都小就是在变化缓慢的图像区域.(Harris adopted a new method of determining the corner. Matrix M of two feature vectors l1 and l2 with the matrix M is proportional to the principal curvatures. Harris use l1, l2 to characterize changes in the fastest and slowest in two directions. If both are great that corner, a little is a big edge, both small change is slow in the image area.)

无刷双馈电机S函数模型，是状态方程，编写的，可以直接使用的。(The BDFM S-function model, equation of state, written, and can be used directly.)

lamb wave used for detection of damage

pso算法源程序 介绍基本粒子群算法的MATLAB实现程序(Particle Swarm Optimization)

截断奇异值分解，可用于反问题中减小矩阵的条件数(TSVD，used in inverse problem for decreace the conduction number of matrix)