RD

Canny邊緣檢測的函數 a: input image sigma: Gaussian的均方差

Example of application of difference circuits at numerical solution of the equations with partial derivatives

Distributed Localization in Wireless Ad Hoc

Abnormal Crowd Behavior Detection Based on the Energy Model.pdf(3 Abnormal Crowd Behavior Detection Based on the Energy Model.pdf)

matlab 的gui入门基础教程，适合初学者(matlab gui entry basis tutorial for beginners)

spwm for a three phase

本书既包含了数字信号处理的经典内容，也包含了部分前言内容。理论与应用相结合，特别注重应用matlab来解决理论与算法的实现问题，对于数字信号处理的学习者很实用。  (The book contains both the digital signal processing classic content, but also contains some foreword content. The combination of theory and application, with particular emphasis on applications to solve matlab realization theory and algorithms for digital signal processing learners very practical.)

说明：  多种群遗传优化算法，包括移民算子、人工选择算子以及标准遗传算法的代码(A variety of genetic optimization algorithms, including migration operator, manual selection operator and standard genetic algorithm code)

利用matlab计算探月卫星速度的教程 清晰易懂~(Calculated using matlab tutorial lunar satellite speed lucid ~)

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)