msc-nirmaf

Matlab 5.1 bible book

Hidden Markov Models

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized 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 u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

共轭梯度法是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。(Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the disadvantage of slow convergence, but also avoids the need to store and calculate Newton Hesse matrix and the shortcomings of the inverse, conjugate gradient method is not only linear equations to solve large-scale one of the most useful, large-scale nonlinear optimization solution is also the most efficient algorithms.)

灰色verhust模型的matlab程序在给定一组序列的情况下求得其预测值，残差，相对误差(Gray verhust model matlab program to obtain their predictive value, residuals, the relative error in the sequence of a given set of circumstances)

说明：  这是自己写的一个贝叶斯网络分类器，可能存在问题，自己调一下(This is to write a Bayesian network classifiers, there may be problems, make your own look)

该算法实现数据的聚类,效果较好,在MATLAB7.0中运行通过(the algorithm for data clustering, the effect is better in the running through MATLAB7)

说明：  本程序实现LPP降维功能，用于多模态故障诊断中，对象为TE，诊断效果很好(This procedure realize the LPP dimension reduction function, used for fault diagnosis of multimodal, object for TE )

MATLAB ecef2enu converter

有均匀线阵的CRB曲线，线性调频脉冲压缩的Matlab程序,小波包分析提取振动信号中的特征频率。( There ULA CRB curve, LFM pulse compression of the Matlab program, Wavelet packet analysis to extract vibration signal characteristic frequency.)