xy_fit

说明：  倒谱分析 倒谱分析是指信号短时振幅谱的对数傅里叶反 变换。它具有可近似地分离并提取出频谱包络信息 和细微结构信息的特点(Cepstrum analysis cepstrum analysis is the signal amplitude spectrum on the number of short-time Fourier inverse transform. It has can be approximately isolated and extracted spectral envelope information and fine structural characteristics of information)

对地震数据进行离散处理，并反演，最后成图(Discrete processing of seismic data )

一个小波包分解重构函数，用于振动信号的故障诊断(A wavelet packet decomposition and reconstruction functions for fault diagnosis of the vibration signal)

粒子群算法优化广义回归神经网络的代码，具有很好的借鉴意义。(Particle swarm optimization (PSO) algorithm optimizes the code of generalized regression neural network, which has a good reference value.)

matlab patchwork经典方法的程序。matlab patchwork经典方法的程序。(matlab patchwork classic method of procedure. matlab patchwork classic method of procedure.)

matlab code for microstrip

文字检测MATLAB程序 可以运行( word detection )

用蒙特卡洛法模拟编写的计算粒子的多次散射和单次散射的比较(Comparison of multiple scattering method using Monte Carlo simulation calculations prepared particles and single-scattering)

frequency estimation using TLS ESPRIT

1.duishuzhengtai：产生对数正态分布 2.gaussian：产生数据量为n的两个相互独立高斯分布y1、y2 3.junyun：自定义 0-1的均匀分布，n代表数据量，一般要大于1024（蒙特卡罗） 4.ruili：瑞利分布,m是瑞利分布的参数,n代表数据量,n一般要大于1024 5.kaifeng：产生开丰分布，其中m代表开丰分布的自由度，n表示产生的点数量 6.tfenbu：本函数产生自由度为m，数据量为n的t分布。 7.weibuer：a=1时,是指数分布；a=2时,是瑞利分布(1.duishuzhengtai: generating lognormal 2.gaussian: generating a data quantity n of two mutually independent Gaussian distribution Y1, Y2 3.junyun: custom uniform distribution of 0-1, n represents a data amount, generally large in 1024 (Monte Carlo) 4.ruili: Rayleigh distribution, m is a parameter of the Rayleigh distribution, n representative of the amount of data, n is generally greater than 1024 5.kaifeng: generating open abundance distribution, wherein m represents an open-abundance distribution freedom of degrees of freedom, n is the number of points generated 6.tfenbu: This function generates m, the amount of data for n t distribution. 7.weibuer: a = 1, the exponential distribution a = 2, is a Rayleigh distribution)