zhiliushengyabianliuqi

this function block an Arbitrary image and take dct from each block. for check quality of reconstructed image calculated PSNR.

模糊控制应用实例-洗衣机的模糊控制 以洗衣机的洗涤时间的模糊控制系统设计为例，其控制是一个开环的模糊决策过程。 包括下面三个程序 （1）污泥和油脂隶属函数设计仿真程序；（2）洗涤时间隶属函数设计仿真程序；（3）洗衣机模糊控制系统仿真程序(Fuzzy control application examples- Fuzzy Control of washing machines Washing machine washing time fuzzy control system design, for example, the control is an open-loop fuzzy decision-making process. Include the following three program (1) design and simulation program of the sludge and grease membership function (2) washing time membership function design simulation program (3) washing machine fuzzy control system simulation program)

数字图像处理，实现自动全局阈值分割，代码和图片经过matlab调试已通过。(Digital image processing, automatic global thresholding segmentation, and pictures through the matlab code debugging has been passed.)

system of pv control for basic with error

rake接收机，简单易懂，来自美国著名教授，如有问题，联系02212090@bjtu.edu.cn()

本论文对跟踪闭环系统进行了设计，主要应用的是Matlab中的仿真构件，可以很好的跟踪目标，而且在其中对闭环系统进行了详细介绍，涉及到了卡尔曼滤波(The thesis of the closed-loop system was designed to track the main application is the simulation of Matlab component, can be a good target tracking, but also on the closed-loop system in which a detailed introduction on to the Kalman filter)

可实现光流、惯性、地磁组合导航的扩展卡尔曼滤波算法(This program can realize the integration if optical flow/INS/magnetic.)

利用matlab求响应程序，可以求出系统的响应 (use this project can sovle the problem )

这是用matlab编写的fast算法，这是一种速度非常快的角点检测方法，实时性很强。(binary descriptor)

第一章 概述 辨识（Identification）、状态估计和控制理论在现代控制理论中是密不可分的，它们互相渗透。辨识和状态估计离不开控制理论的支持，控制理论的应用几乎不能没有辨识和估计技术。由此可见，辨识在科研与实际应用领域都有很高的实用价值。 所谓辨识，就是从含有噪声的输入、输出数据中提取被研究对象的数据模型。此数据模型只是过程的输入输出特性在某种意义下的近似，而近似的准确度一般取决于采样数据的精度以及辨识方法的合理性。 辨识的目的是根据过程所提供测量的数据等信息，在某种准则意义下，估计出模型的未知参数，其基本原理如图1.1所示： (Identification (Identification), state estimation and control theory in modern control theory are inextricably linked, they penetrate each other. Identification and control of state estimation theory is inseparable from the support of the application of control theory can hardly no identification and estimation techniques. This shows that the identification of the research and practical application areas have high practical value. The so-called identification, is to contain noise from the input and output data from the study was the data model. This data model is the process of input and output characteristics in a certain sense of approximation, while similar to the general accuracy of the data depends on the accuracy of sampling and identification method is reasonable. Identification wit)