MATLABch4

c code for LHMs and using the matlab to plot the field

巴特沃斯數字低通濾波器。採樣率8000HZ，fp=2100hz,fs=2500hz,Rp=3db,Rs=25db.(butterworth LPF)

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)

阵列信号处理的高分辨率估计，用于时频分析算法，未来线路预测,分析误差。( High-resolution array signal processing estimates, For time-frequency analysis algorithm, Future line prediction, error analysis.)

一种带有积分环节的滑模变结构控制方法程序，包含.mdl与S-function，，(Of a link with the integral sliding mode variable structure control methods and procedures, including. Mdl with the S-function,,)

敌我识别信号的门限检测算法，该算法适应MarkX、MarkXII和S模式的信号。(IFF signal threshold detection algorithm, which is adapted MarkX, MarkXII and S mode signal.)

说明：  GA遗传算法介绍，系统的介绍了GA的由来和方法，并对其应用进行了介绍(GA introduce)

Select FIS Generation Method. , , Grid Partitioning

此函数中详细介绍了如何现代功率谱估计法中的AR模型来妒忌信号的功率谱；(This function is described in detail how modern power spectrum estimation of AR model to envy the power spectrum of the signal )

神经网络Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the (Neural Networks Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicator)