Image-Segmentation

calculate the allan variance

This tutorial white-paper illustrates practical aspects of FIR filter design and fixed-point implementation along with the algorithms available in the Filter Design Toolbox and the Signal Processing Toolbox for this purpose. The emphasis is mostly on lowpass filters, but many of the results apply to other filter types as well. The tutorial focuses on practical aspects of filter design and implementation, and on the advantages and disadvantages of the different design algorithms. The theory behind the design algorithms is avoided except when needed to motivate them.

说明：  该算法为抗积分饱和的PID控制 用MATlab开发，能够管直接运行(The algorithm for the anti-saturation points of the PID control using Matlab development, be able to pipe directly to run)

说明：  经典程序例子,matlab语言编制的。 可供学习者参考(Classic example of the procedure, matlab languages. For learner reference)

ga binary code that consist three file: main ga code,cost and selection code

说明：  利用bp神经网络对遥感图像进行分类，输入样本值后，根据样本值对遥感图像不同的地物进行分类，分类后计算每种地物所占面积(The use of bp neural network classification of remote sensing images, enter a sample value, based on the sample value of the different features of remote sensing image classification, classification features calculated for each share of area)

说明：  处理SEM图像的通用程序，包括读图、二值化、滤波、边界提取(A general program dealing with the general program the image of SEM, including Picture stories, binarization, filtering, boundary extraction)

说明：  MATLAB的dijstra算法，MATLAB的dijstra算法(MATLAB s dijstra algorithm)

The purpose of this document is to give a medium-length introduction to the essentials of MATLAB and how to use it well. I’m aiming for a document that’s somewhere between a two- page introduction for a numerical methods course and the excellent but longer Getting Started and other user guides found in the online docs. I use it in a week-long “boot camp” for graduate students at the University of Delaware in the summer after their fi rst year of study.

matlab 高等数学技术研究，适合初学者学习(matlab mathematics technology, suitable for beginners to learn)