DV_HOP.m__html

本软件主要用于结构的时域试验模态分析，包括单输入单输出，单输入多输出和多输入多输出程序设计。传统的模态分析软件大多是基于频域分析方法，需首先对采样信号进行Fourier 变换。本软件使用实测时域信号，无需Fourier变换，可以避免由于信号截断而引起泄露、出现旁瓣、分辨率低等问题对辨识精度的不利影响。此外，节省了计算机运算时间，可以对实际工况状态下的结构进行在线参数识别。(This software is mainly used for the structure of time-domain experimental modal analysis, including single-input single-output, single-input multiple-output and multiple-input multiple-output programming. Traditional modal analysis software are mostly based on frequency domain analysis, needed first sampled signal Fourier transform. The software uses the measured time-domain signal without the need for Fourier transform, avoid truncated because of the signal caused by leaks, there sidelobes and low resolution of the issue of adverse effects on the identification accuracy. In addition, the savings in computing time, to the actual condition of the structure of the state-line parameter identification.)

GM（1，n）灰色预测模型，只有模型建立，计算，作图，检验过程略(GM (1, n) Grey forecasting model, only the model, calculation, mapping, testing process slightly)

被控对象为G(S)=400/（s*s+500s）,首先运行模糊控制器程序chap4_2.m,并将模糊推理系统保存在a2中，然后运行模糊控制SIMULIK程序。位置指令为0.5sin（10t）,simulink见chap4_3(Controlled object is G (S) = 400/(s* s+500s), first run the fuzzy controller program chap4_2.m, and stored in a2 fuzzy inference system, and then run the fuzzy control SIMULIK program. Position command is 0.5sin (10t), simulink see chap4_3)

prim算法 kruskal算法用matlab实现 输入标准：x邻接矩阵 p节点集 输出：生成树边集 G(prim algorithm Kruskal algorithm matlab input standard: x adjacency matrix p Node Set Output: Spanning Tree margination G)

使用MATLAB完成灰色预测，fisher 判别，以及距离判别(Done using MATLAB Grey, fisher discriminant and distance criterion)

关于matlab图像增强的源代码，可以用在实际生活背景中，例如雾天模糊图像增强等等(Image enhance)

自己编写的vc调用matlab程序，可以再vc的环境下实现matlab窗口显示图像，对初学者很有用(I have written matlab program called vc, vc environment can be achieved matlab window display images, useful for beginners)

单神经元自适应控制 snn_adaptive_control(snn_adaptive_control)

We first present the Hypothesis Selection Filter in a general setting. For a given image enhancement problem, suppose we have selected a set of image filters each of which is effective in improving the image quality for a certain type of content. Our objective is to combine the filter outputs to obtain an overall best quality result. In the following, we use upper-case letters to denote random variables and random vectors, and lower-case letters to denote their realizations.

SNR相对于检测距离，对于两种目标类型,脉冲非相干积累(SNR relative to the detection distance for the two types of target)