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各种PID控制及其MATLAB仿真，内容详细具体，易懂(PID control and MATLAB simulation of the various content specific and easy to understand)

electric field of bragg reflectivity waveguide

In this simulink model , baseband binary detection is simulated .A rectangular pulse shaped signal is given as input to the detector.The received signal is matched filtered and down-sampled .The effects of symbol timing offset can be seen by varying the phase of down-sampling operation.The binary signal transmitted is recovered at the detector output.

滤波器的设计，无限冲激响应数字滤波器设计(Something about the desire of filter)

这是一个matlab编写的关于图形图像处理的库文件,里面含有很多实现的图形图像处理的算法,可以使操作者方便使用(This is a matlab graphical images prepared by the treatment of the library file, which contains many realize the graphic image processing algorithms, allows the operator easy-to-use)

说明：  排队问题仿真的目的是要寻找服务对象与服务设置之间的最佳配置，保证系统具有最佳的服务效率与最合理的配置，通过matlab平台对单服务台有限队长的排队系统进行 过程仿真 可以协助设计人员分析顾客的需求 从而合理规划出符合实际条件的服务设施(The purpose of the queuing simulation is to find clients and the best allocation between service settings, ensure that the system has the best efficiency and the most reasonable configuration, the single desk by the limited matlab platform captain Simulation of queuing systems can be help designers analyze the needs of customers in order to meet the actual conditions of rational planning of services and facilities)

实现基本MUSIC算法,加入高斯白噪声,完成信号来波方向的精确定位(achieve basic MUSIC, by adding Gaussian white noise, the complete signal wave direction to the precise location)

系统辨识和自适应控制中增量式PID控制的应用(Incremental PID control inSystem identification and adaptive control)

ContourletSD: MATLAB code implementing the new contourlet transform with sharp frequency localization as described in the following paper. Y. Lu and M. N. Do A new contourlet transform with sharp frequency localization. Proc. IEEE International Conference on Image Processing, Atlanta, 2006. Version: October 2009

基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由 于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份 验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征， 它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来 越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科 的研究热点。(Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects.)