基于 M atlab/Simulink 环境，分别建立小水电、双馈感应风力发电和超级电容fengji

matlab的pdf教程，华中科技大学的内部资料(The pdf tutorial matlab, Huazhong University of Science and Technology)

此算法描写了怎样根据图片的灰度值来找边界，以及在什么条件下可以作为图像轮廓。(This algorithm describes how to find the gray value according to the picture border, and under what conditions can be used as image contours.)

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)

说明：  Savitzky & Golay 微分 (Savitzky )

simulink此书对于初学者来说，比较适合，简单介绍了一些simulink的相关模块等(simulink)

《空时码及MIMO通信的信号处理过程》书中的源程序代码，对初学者很有作用！(" Space-time codes and MIMO communications signal processing," source code book for beginners is the role!)

数学建模算法大全，内有很多代码，并有具体的教程（如何构建）(Mathematical modeling algorithm Daquan, there are a lot of code, and a specific tutorial (how to build))

a mfile for describing lorenz equation

采用二阶盲源分离程序编写的模态参数识别Matlab工具箱。(Toolbox for performing modal dentification using second order blind source separation methods)

growcut algorithm is implemented for segmentation purpose