RepetitiveControlSimulink

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

采用遗传算法优化自抗扰控制器的参数，简化了调节参数的难度(Genetic algorithm was used ADRC parameters, simplifying the adjustment parameters of difficulty)

Reactor Calculator Assume: Batched, 100 conversion

关于数字通信OFDM的发展的好的文献，可以读，加深对通信仿真的理解(OFDM on the development of digital communication of good literature to read, to deepen the understanding of communication simulation)

Characteristics of the closed one-dimensional object

基于直角坐标的牛顿拉弗逊法潮流计算程序，经过IEEE14模型测试。(the newton_lafason power flow )

用于简单函数优化的算法代码（MATLAB）,希望对大家有用 (For simple function optimization algorithm code (MATLAB)。I need it can be useful to you)

simulation of neural network for adaptive control

对工业指针式仪表的倾斜图像进行自动矫正以及读数识别(Automatic correction of slant images and readout recognition)

cheby1 bpf @ wav file