proportional-navigation-trajectory-

电力系统的短路计算过程繁琐工作量大，采用计算机编程计算不但省去了繁琐的人工计算，而且精确度高。我选用matlab作为编程语言，因为Matlab对处理数组有着其它编程语言所无法比拟的优越性。此外matlab中的GUI界面直观简单，而且制作过程并不复杂。(power system short-circuit the cumbersome process of calculating workload, calculated using computer programs not only save a cumbersome manual calculation, and high precision. I use Matlab as a programming language, because Matlab have to deal with an array of other programming languages are incomparable superiority. In addition Matlab the GUI interface is very intuitive and simple, but the production process is not complicated.)

程序6：遗传算法工具箱使用例子； 程序7：多种群遗传算法的函数优化； 程序8：基于量子遗传算法的函数寻优； 程序9：基于遗传算法的多目标优化算法； 程序10：基于粒子群算法的多目标搜索算法(Program 6: examples of the use of genetic algorithm toolbox Program 7: multi-population genetic algorithm function optimization Program 8: a function based on quantum genetic algorithm optimization Program 9: Based on the genetic algorithm for multi-objective optimization algorithm Program 10: Based on the particle swarm optimization algorithm for multi-objective search)

基于免疫禁忌混合算法的多目标最优潮流计算[PDF].(Multi-objective Optimal Power Flow Calculation Based on Immune/Tabu Search Hybrid Algorithm)

ultrasound image segmentation

Census Transform of an Image, Please read the comments for a better understanding of the code

matlab的优秀编程实例，可以借鉴学习一下(matlab examples of excellent programming, you can learn from what)

camera-to-screen calibration test USING MATLAB

SURF Features A frequent approach to feature extraction from images is SURF (Speeded Up Robust Features) Codebook You can use the function create_codebook.m to create a codebook with k-means Histograms Write a function that creates histograms of single images by assigning the image features to clusters from the codebook and counting their frequency Object recognition Choose two distinct subsets from the images. Create a codebook from one set

调制信号的波形及其功率谱。。。很好用。。(The modulated signal waveform and the power spectrum)

说明：  文章简要介绍了模糊控制的概念和特点，并对模糊控制的原理作了说明，较详细的介绍了模糊控制的现状，包括模糊PID控制、自适应模糊控制、神经模糊控制、遗传算法优化的模糊控制、专家模糊控制等，最后对模糊控制的发展作了展望。(This paper briefly introduces the concept and characteristics of fuzzy control, and fuzzy control principle is illustrated in more detail the status of the fuzzy control including fuzzy PID control, adaptive fuzzy control, neural fuzzy control, genetic algorithm optimization of fuzzy control, expert fuzzy control, the last of the fuzzy control prospects of development.)