Calculation-time

灰色系统GM（1，1）模型的源代码，实现在数据不充分的情况下对未来的预测。(Gray system GM (1,1) model of the source code, data is not sufficient to achieve in the case of predictions for the future.)

利用matlab/simulink搭建的简单的发动机模型。(Using the matlab/simulink to build a simple engine model.)

本文介绍了两种新的图像增强算法:一种是基于模糊嫡的图像滤波器，另一种是改进的模糊松弛迭代增强算法。前者将图像分为若十窗日，分别计算每个窗日关于不同模糊集的模糊嫡，根据最 小模糊嫡原则，确定该窗日中心灰度的大小，该方法充分利用了图像窗日中像素的区域信息。 (This paper introduces two new image enhancement algorithm: one is based on fuzzy entropy image filters, another improved fuzzy relaxation iterative enhancement algorithms. The former image into the ten windows day, the date of each window on different fuzzy sets fuzzy entropy, were calculated according to the minimum fuzzy entropy principle, determine the size of the window day center gray, full use of the Japan-China pixels of the image window region information.)

在一定的资源数下，服从泊松分布到达和指数分布离开的用户，仿真在用户数不断增加时网络阻塞率。自己编写。(Under certain number of resources, and the Poisson arrival of the user leaves the exponential distribution, the blocking probability in the simulation the number of users increases. Write your own.)

共轭梯度法在数值分析中应用非常广泛，比最速下降法要快，这里是FR共轭梯度法，及简单的例子。(Conjugate gradient method in numerical analysis is widely used, and faster than the steepest descent method , this is FR conjugate gradient method, and some simple examples.)

第七章 GUIDE入门 7.1 概述 7.2 图形句柄入门 7.3 GUIDE工具入门 7.4 创建图形用户界面外观 7.5 图形用户界面编程 7.6 常用的图形界面函数 7.7 本章小结 (Chapter VII GUIDE overview 7.2 Introduction 7.1 Introduction 7.3 GUIDE handle graphics tools to create entry-7.4 Appearance 7.5 graphical user interface graphical user interface programming 7.6 graphical interface function commonly used in this chapter 7.7 Summary)

说明：  画出系统的阶跃响应曲线，计算系统的上升时间，调节时间，超调量，稳态误差。。。(drawing the system s step response and comput its adjusting time \stastical error)

用MATLAB让ASK信号产生~~~~~~~~~~~~~~~~~~~~~~~~(ASK signal using MATLAB to generate ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~)

这是压缩感知领域，一个重构算法--子空间追踪方法，此方法是基于OMP之后的改进算法。(This is a compressed sensing area, a reconstruction algorithm- subspace tracking methods, this method is based on the OMP after the improved algorithm.)

FIR filter design with unseperable window, seperable window, frequency sampling method