HLMethod2

采用辛普生计算方法进行数值计算，并对结果进行画图(simpson)

计算信号的双谱，为机械故障诊断提供依据，还可以用于故障特征提取(Bispectrum for calculating signals)

此程序是在假设已知波达角的情况下进行仿真验证的实验，零陷music波速成形。(This procedure is known in the hypothetical case of DOA conducted simulation experiments, velocity forming nulls music.)

高阶谱分析用于高频型号的处理，可进行非线性的信号分析(Higher order spectral analysis used in the processing of high-frequency models, non-linear signal analysis)

黄金搜索算法求在区间【a,b】上的最优解(Golden search algorithm for the interval [a, b] on the optimal solution)

MSC和SNV的小程序，用于处理光谱数据，每一列是一组数据，列数就是样本数量(MSC and SNV small program for processing the spectral data, and each column is a set of data, the number of columns is the number of samples)

说明：  此matlab代码利用求解线性方程组的方法，实现了高斯二维曲面拟合（附数学原理PDF文档）(This matlab code use the method of solving linear equations to achieve gaussian two-dimensional surface fitting)

Prob log domain simple Decoding procedure in matlab m-file

fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples. fits data to the probability of the form: p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a)) with parameter: a format: result = fit_maxwell_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields a - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、 LAWMLShrink方法的DWT实现和DT_CWT实现。(BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink methods, LAWMLShrink methods DT_CWT realization and the realization of DWT.)