Matlab

说明：  国外重点教材系列之数字信号处理习题答案完整版(Foreign key textbook series of digital signal processing exercises full answer)

《MATLAB神经网络30个案例分析》中的第17个例子，案例17 SOM神经网络的数据分类--柴油机故障诊断。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 17 cases of 17 SOM neural network data classification, diesel engine fault diagnosis. Hope to have certain help to everybody! )

隐马尔科夫过程预测编码，对于使用或研究隐马尔科夫模型的人会有帮助。(Hidden Markov process predictive coding, for the use of hidden Markov models or research who will help.)

OSCAR is an optical FFT code used to calculate the steady state optical field circulating in Fabry Perot cavities. The code can integrate non-sperical mirrors and any arbitrary input fields. Recent applications for OSCAR have been: calculation of thermal lensing effect and calculation of diffraction loss and cavity eigen modes for mesa beams. One great advantage of OSCAR is the simplicity and exibility of the code, everyone with only minimal knowl- edge of Matlab can easily modifed OSCAR code to suit specfic purposes.

This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn

一个关于小波分解与重构的示例程序，能显示不同尺度的分解与重构系数。(On wavelet decomposition and reconstruction of a sample program that can display a different scale decomposition and reconstruction coefficients.)

关于特征描述的susan算法的matlab程序(About susan algorithm matlab program)

机器人控制,用matlab robotics toolbox 仿真设计(robotics controll using matlab robotics toolbo simulation)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

电机拖动里的用空载点和负载点做出直流电机的固有机械特性曲线(failed to translate)