Pca-extraction

说明：  专家pid控制仿真程序，可以共同学习！希望大家多多支持！(Expert pid control simulation program)

this is edokvosi edishtosi neznam si kbo ebasi tuopto

一个利用二阶指数平滑方法进行预测的实例，比较简单地展现了二阶指数平滑在数据预测方面的作用(Instance, predicted a second-order exponential smoothing method is relatively simple to show the role of the data to predict a second-order exponential smoothing)

说明：  EM最大期望算法：算法是在概率模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量。最大期望经常用在机器学习和计算机视觉的数据聚类领域。(EM algorithm)

形态学处理 包括开运算，闭运算，边缘检测，重构等　matlab源码(Morphological opening treatment, including operations, closing operation, edge detection, reconfiguration, such as source code matlab)

我们提出了一种新的方法来实现全光 微波使用光纤布拉格光栅阵列滤波 相同的反射率。确定了过滤器攻丝系数 通过一个宽带光源的光谱分布和 光栅的中心波长。由于光纤布拉格 光栅有相同的反射率，其特征 高均匀度的光栅是可能的，从而简化了 光纤布拉格光栅的制作，降低了实现 错误。此外，该宽带光的光谱分布 源可以控制使用的光学过滤器，可用于 控制滤波器系数的滤波器的旁瓣抑制。一个 微波滤波器采用四个光纤布拉格光栅的实验 实施。 (We propose a novel approach to realizing all-optical microwave filtering using an array of fiber Bragg gratings with identical reflectivities. The filter tapping coefficients are determined by the spectrum profile of a broadband light source and the central wavelengths of the gratings. Since the fiber Bragg gratings have identical reflectivities, the characteristics of the gratings with high uniformity are possible, which simplifies the fiber Bragg grating fabrication and reduces the implementation error. In addition, the spectrum profile of the broadband light source can be controlled using an optical filter, which could be used to control the filter coefficients to suppress the filter sidelobes. A microwave filter using four fiber Bragg gratings is experimentally implemented.)

its the code for face detectiona and regeneration

此文件是弹性地基梁计算程序。可通过输入梁与荷载的初始参数，计算弹性地基梁的内力、位移、反力分布。(This paper Xi River rudder is the Laos regulatory ?у Ban Tian the bake ? Cong $ Cheng Fu example, Shi. Efficiency Chi Adoption Input percent and Ya drilling crazy poured Fei Fan Wai-Pu example, parameters to help Rencong calculation Laos regulatory ?he у Pannuo bake ? the Fei Fanqiang E ?certificate Xian hand crepe Meeting ?Huoshe Mechanics distribution Kou ?

wav格式信号频谱分析，在matlab开发环境下可以很好的应用(wav format, the signal spectrum analysis, in the matlab development environment may be a good application of)

RNNSIM ver. 1.0 is a program with an intercative graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model. In the next versions, the multi hidden layers and the recurrent RNN models can be implemented. To obtain faster training, the training section can be written as a MEX file and invoked from the GUI. If you have the m files in the directory rnnsim for example, then you can run the program following the next steps: 1- run MATLAB as usual 2- from the MATLAB command window, write cd rnnsim 3- from the MATLAB command window, write rnnsim